refactor(search): strip dead NL types from generated api.ts

Remove the /api/search/nl path and the NlSearchRequest,
NlQueryInterpretation, NlSearchResponse, PersonHint, and TagHint
schemas left over from the NLP/smart-search removal. These were
unused (nothing in frontend/src imported them); the manual strip
matches what `npm run generate:api` produces against the now
NL-free backend. Closes the last deferred review item on PR #772.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

CLAUDE.md

@@ -92,7 +92,6 @@ backend/src/main/java/org/raddatz/familienarchiv/
 ├── ocr/                 OCR domain — OcrService, OcrBatchService, training
 ├── person/              Person domain
 │   └── relationship/    PersonRelationship sub-domain
-├── search/              NL search domain — NlSearchController, NlQueryParserService, RestClientOllamaClient, NlSearchRateLimiter
 ├── security/            SecurityConfig, Permission, @RequirePermission, PermissionAspect
 ├── tag/                 Tag domain
 └── user/                User domain — AppUser, UserGroup, UserService
@@ -161,7 +160,7 @@ Input DTOs live flat in the domain package. Response types are the model entitie
 
 → See [CONTRIBUTING.md §Error handling](./CONTRIBUTING.md#error-handling)
 
-**LLM reminder:** use `DomainException.notFound/forbidden/conflict/internal()` from service methods — never throw raw exceptions. When adding a new `ErrorCode`: (1) add to `ErrorCode.java`, (2) add to `ErrorCode` type in `frontend/src/lib/shared/errors.ts`, (3) add a `case` in `getErrorMessage()`, (4) add i18n keys in `messages/{de,en,es}.json`. Valid error codes include: `TOO_MANY_LOGIN_ATTEMPTS` (returned by `LoginRateLimiter` as HTTP 429 when a brute-force threshold is exceeded); `SMART_SEARCH_UNAVAILABLE` (HTTP 503 — Ollama inference service offline or timed out); `SMART_SEARCH_RATE_LIMITED` (HTTP 429 — user exceeded 5 NL search requests per minute).
+**LLM reminder:** use `DomainException.notFound/forbidden/conflict/internal()` from service methods — never throw raw exceptions. When adding a new `ErrorCode`: (1) add to `ErrorCode.java`, (2) add to `ErrorCode` type in `frontend/src/lib/shared/errors.ts`, (3) add a `case` in `getErrorMessage()`, (4) add i18n keys in `messages/{de,en,es}.json`. Valid error codes include: `TOO_MANY_LOGIN_ATTEMPTS` (returned by `LoginRateLimiter` as HTTP 429 when a brute-force threshold is exceeded).
 
 ### Security / Permissions
 
@@ -269,7 +268,7 @@ Back button pattern — use the shared `<BackButton>` component from `$lib/share
 
 → See [CONTRIBUTING.md §Error handling](./CONTRIBUTING.md#error-handling)
 
-**LLM reminder:** when adding a new `ErrorCode`: (1) add to `ErrorCode.java`, (2) add to `ErrorCode` type in `frontend/src/lib/shared/errors.ts`, (3) add a `case` in `getErrorMessage()`, (4) add i18n keys in `messages/{de,en,es}.json`. Valid error codes include: `TOO_MANY_LOGIN_ATTEMPTS` (returned by `LoginRateLimiter` as HTTP 429 when a brute-force threshold is exceeded); `SMART_SEARCH_UNAVAILABLE` (HTTP 503 — Ollama inference service offline or timed out); `SMART_SEARCH_RATE_LIMITED` (HTTP 429 — user exceeded 5 NL search requests per minute).
+**LLM reminder:** when adding a new `ErrorCode`: (1) add to `ErrorCode.java`, (2) add to `ErrorCode` type in `frontend/src/lib/shared/errors.ts`, (3) add a `case` in `getErrorMessage()`, (4) add i18n keys in `messages/{de,en,es}.json`. Valid error codes include: `TOO_MANY_LOGIN_ATTEMPTS` (returned by `LoginRateLimiter` as HTTP 429 when a brute-force threshold is exceeded).
 
 ---
 

backend/src/main/java/org/raddatz/familienarchiv/exception/ErrorCode.java

@@ -135,12 +135,6 @@ public enum ErrorCode {
     /** The merge target is a descendant of the source tag. 400 */
     TAG_MERGE_INVALID_TARGET,
 
-    // --- NL Search ---
-    /** Ollama is unreachable or timed out. 503 */
-    SMART_SEARCH_UNAVAILABLE,
-    /** NL search rate limit exceeded (5 requests per user per minute). 429 */
-    SMART_SEARCH_RATE_LIMITED,
-
     // --- Generic ---
     /** Request validation failed (missing or malformed fields). 400 */
     VALIDATION_ERROR,

backend/src/main/java/org/raddatz/familienarchiv/person/NameMatches.java

@@ -0,0 +1,13 @@
+package org.raddatz.familienarchiv.person;
+
+import java.util.List;
+
+/**
+ * Result of {@link PersonService#resolveByName(String)}: candidate persons split by name-match
+ * strength. {@code direct} = every query token is a whole-token match across the person's name
+ * components (alias/maiden-name aware); {@code partial} = matched the substring fetch but is not
+ * direct. The vocabulary is deliberately name-match strength ({@code direct}/{@code partial}), not
+ * the search layer's resolved/ambiguous buckets — the caller maps these into its own outcome.
+ */
+public record NameMatches(List<Person> direct, List<Person> partial) {
+}

backend/src/main/java/org/raddatz/familienarchiv/person/PersonRepository.java

@@ -19,7 +19,8 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
            "LOWER(CONCAT(COALESCE(p.firstName, ''),' ',p.lastName)) LIKE LOWER(CONCAT('%', :query, '%')) OR " +
            "LOWER(CONCAT(p.lastName, ' ', COALESCE(p.firstName, ''))) LIKE LOWER(CONCAT('%', :query, '%')) OR " +
            "LOWER(p.alias) LIKE LOWER(CONCAT('%', :query, '%')) OR " +
-           "LOWER(a.lastName) LIKE LOWER(CONCAT('%', :query, '%')) " +
+           "LOWER(a.lastName) LIKE LOWER(CONCAT('%', :query, '%')) OR " +
+           "LOWER(a.firstName) LIKE LOWER(CONCAT('%', :query, '%')) " +
            "ORDER BY p.lastName ASC, p.firstName ASC")
     List<Person> searchByName(@Param("query") String query);
 

backend/src/main/java/org/raddatz/familienarchiv/person/PersonService.java

@@ -1,9 +1,15 @@
 package org.raddatz.familienarchiv.person;
 
+import java.util.ArrayList;
 import java.util.Comparator;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
 import java.util.List;
+import java.util.Locale;
 import java.util.Optional;
+import java.util.Set;
 import java.util.UUID;
+import java.util.stream.Collectors;
 
 import org.springframework.lang.Nullable;
 
@@ -24,11 +30,20 @@ import org.springframework.transaction.annotation.Transactional;
 import org.springframework.web.server.ResponseStatusException;
 
 import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
 
 @Service
 @RequiredArgsConstructor
+@Slf4j
 public class PersonService {
 
+    // Co-located with the fetch loop that owns them (issue #763). MAX_TOKENS caps the number of
+    // unindexed leading-wildcard LIKE scans per name — a DoS control, not just perf. MAX_CANDIDATES
+    // bounds each result bucket and is applied AFTER classification so a direct match that sorts
+    // past position 10 among partials is never discarded.
+    private static final int MAX_TOKENS = 8;
+    private static final int MAX_CANDIDATES = 10;
+
     private final PersonRepository personRepository;
     private final PersonNameAliasRepository aliasRepository;
 
@@ -103,6 +118,92 @@ public class PersonService {
         return personRepository.searchByName(fragment);
     }
 
+    // Name-match tokenizer (issue #763): lowercase, split on whitespace/hyphen/apostrophe,
+    // drop empties. Applied symmetrically to the query and to every candidate name component so
+    // that "Anna-Maria" and "Anna Maria" tokenize alike. Order-preserving for deterministic tests.
+    static Set<String> tokenize(String raw) {
+        if (raw == null || raw.isBlank()) {
+            return Set.of();
+        }
+        LinkedHashSet<String> tokens = new LinkedHashSet<>();
+        for (String part : raw.toLowerCase(Locale.ROOT).split("[\\s\\-']+")) {
+            if (!part.isEmpty()) {
+                tokens.add(part);
+            }
+        }
+        return tokens;
+    }
+
+    /**
+     * Resolves an extracted person name into {@link NameMatches} by name-match strength.
+     * Orchestrates tokenize → cap → fetch pool → classify → cap-after-classify. Read-only
+     * transaction keeps the Hibernate session open so each candidate's lazy {@code nameAliases}
+     * are reachable during classification (see ADR-022).
+     */
+    @Transactional(readOnly = true)
+    public NameMatches resolveByName(String name) {
+        Set<String> queryTokens = capTokens(tokenize(name));
+        if (queryTokens.isEmpty()) {
+            log.debug("resolveByName outcome=no-match tokens=0");
+            return new NameMatches(List.of(), List.of());
+        }
+        return classify(fetchPool(queryTokens), queryTokens);
+    }
+
+    private Set<String> capTokens(Set<String> tokens) {
+        return tokens.stream().limit(MAX_TOKENS).collect(Collectors.toCollection(LinkedHashSet::new));
+    }
+
+    private List<Person> fetchPool(Set<String> queryTokens) {
+        LinkedHashMap<UUID, Person> pool = new LinkedHashMap<>();
+        for (String token : queryTokens) {
+            for (Person candidate : findByDisplayNameContaining(token)) {
+                pool.putIfAbsent(candidate.getId(), candidate);
+            }
+        }
+        return new ArrayList<>(pool.values());
+    }
+
+    private NameMatches classify(List<Person> pool, Set<String> queryTokens) {
+        List<Person> direct = new ArrayList<>();
+        List<Person> partial = new ArrayList<>();
+        for (Person candidate : pool) {
+            if (personTokens(candidate).containsAll(queryTokens)) {
+                direct.add(candidate);
+            } else {
+                partial.add(candidate);
+            }
+        }
+        List<Person> cappedDirect = cap(direct);
+        List<Person> cappedPartial = cap(partial);
+        log.debug("resolveByName outcome={} tokens={}", outcome(cappedDirect, cappedPartial), queryTokens.size());
+        return new NameMatches(cappedDirect, cappedPartial);
+    }
+
+    private static Set<String> personTokens(Person person) {
+        Set<String> tokens = new LinkedHashSet<>();
+        tokens.addAll(tokenize(person.getFirstName()));
+        tokens.addAll(tokenize(person.getLastName()));
+        tokens.addAll(tokenize(person.getAlias()));
+        tokens.addAll(tokenize(person.getTitle()));
+        for (PersonNameAlias alias : person.getNameAliases()) {
+            tokens.addAll(tokenize(alias.getFirstName()));
+            tokens.addAll(tokenize(alias.getLastName()));
+        }
+        return tokens;
+    }
+
+    private static List<Person> cap(List<Person> people) {
+        return people.size() > MAX_CANDIDATES ? people.subList(0, MAX_CANDIDATES) : people;
+    }
+
+    private static String outcome(List<Person> direct, List<Person> partial) {
+        if (direct.size() == 1) return "direct=1";
+        if (direct.size() >= 2) return "direct>=2";
+        if (!partial.isEmpty()) return "partial-only";
+        return "no-match";
+    }
+
     public List<Person> findAllFamilyMembers() {
         return personRepository.findByFamilyMemberTrueOrderByLastNameAscFirstNameAsc();
     }

backend/src/main/java/org/raddatz/familienarchiv/person/README.md

@@ -21,6 +21,7 @@ Features: person CRUD, name alias management, person merge (deduplication), fami
 | `getAllById(List<UUID>)` | document | Bulk fetch for sender/receiver resolution |
 | `findAll(String q)` | document, dashboard | List all persons |
 | `findByName(String firstName, String lastName)` | document | Filename-based **sender resolution** in `storeDocument`: exact-case match → single case-insensitive match → else **empty** (ambiguous names leave the sender unset; a null first name never matches). See ADR-033. |
+| `resolveByName(String name)` | search | NL-search name resolution returning `NameMatches` (direct vs partial). Token/word-boundary, alias-aware matching so a single direct match auto-selects even when looser substring hits coexist ("Clara Cram" vs "Clara Cramer"). See #763. |
 | `findOrCreateByAlias(String rawName)` | importing | Idempotent create during mass import; type classification happens internally. Resolves exact-case → lowest-id case-insensitive sibling → create — never throws on case-colliding aliases. See ADR-033. |
 | `findAllFamilyMembers()` | dashboard | Family member list for stats |
 | `findCorrespondents()` | document | Correspondent list for conversation filter |

backend/src/main/java/org/raddatz/familienarchiv/search/NlQueryInterpretation.java

@@ -1,22 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import io.swagger.v3.oas.annotations.media.Schema;
-
-import java.time.LocalDate;
-import java.util.List;
-
-public record NlQueryInterpretation(
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        List<PersonHint> resolvedPersons,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        List<PersonHint> ambiguousPersons,
-        LocalDate dateFrom,
-        LocalDate dateTo,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        List<String> keywords,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        String rawQuery,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        boolean keywordsApplied
-) {
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlQueryParserService.java

@@ -1,160 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
-import org.raddatz.familienarchiv.document.DocumentSearchResult;
-import org.raddatz.familienarchiv.document.DocumentService;
-import org.raddatz.familienarchiv.document.DocumentSort;
-import org.raddatz.familienarchiv.document.SearchFilters;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-import org.raddatz.familienarchiv.person.Person;
-import org.raddatz.familienarchiv.person.PersonService;
-import org.raddatz.familienarchiv.tag.TagOperator;
-import org.springframework.data.domain.Pageable;
-import org.springframework.stereotype.Service;
-
-import java.time.LocalDate;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.UUID;
-
-@Service
-@RequiredArgsConstructor
-@Slf4j
-public class NlQueryParserService {
-
-    private static final int MIN_QUERY = 3;
-    private static final int MAX_QUERY = 500;
-    private static final int MAX_NAME_LENGTH = 200;
-    private static final int MAX_CANDIDATES = 10;
-
-    private final OllamaClient ollamaClient;
-    private final PersonService personService;
-    private final DocumentService documentService;
-
-    public NlSearchResponse search(String query, Pageable pageable) {
-        if (query == null || query.length() < MIN_QUERY || query.length() > MAX_QUERY) {
-            throw DomainException.badRequest(ErrorCode.VALIDATION_ERROR,
-                    "Query must be between " + MIN_QUERY + " and " + MAX_QUERY + " characters");
-        }
-
-        OllamaExtraction ext = ollamaClient.parse(query);
-
-        List<String> personNames = ext.personNames() != null ? ext.personNames() : List.of();
-        List<String> keywords = ext.keywords() != null ? ext.keywords() : List.of();
-
-        NameResolution resolution = resolveNames(personNames);
-
-        if (!resolution.ambiguous().isEmpty()) {
-            NlQueryInterpretation interpretation = new NlQueryInterpretation(
-                    List.of(), resolution.ambiguous(),
-                    ext.dateFrom(), ext.dateTo(),
-                    keywords, ext.rawQuery(), false);
-            return new NlSearchResponse(DocumentSearchResult.of(List.of()), interpretation);
-        }
-
-        List<PersonHint> resolved = resolution.resolved();
-        List<String> noMatchFragments = resolution.noMatchFragments();
-        List<String> extraFragments = resolution.extraFragments();
-
-        String text = buildText(keywords, noMatchFragments, extraFragments, ext.rawQuery());
-
-        if (resolved.size() == 1 && isAnyRole(ext.personRole())) {
-            UUID personId = resolved.get(0).id();
-            DocumentSearchResult docs = documentService.searchDocumentsByPersonId(
-                    personId, ext.dateFrom(), ext.dateTo(), pageable);
-            NlQueryInterpretation interpretation = new NlQueryInterpretation(
-                    resolved, List.of(), ext.dateFrom(), ext.dateTo(), keywords, ext.rawQuery(), false);
-            return new NlSearchResponse(docs, interpretation);
-        }
-
-        UUID sender = buildSender(resolved, ext.personRole());
-        UUID receiver = buildReceiver(resolved, ext.personRole());
-
-        SearchFilters filters = new SearchFilters(
-                text.isBlank() ? null : text,
-                ext.dateFrom(), ext.dateTo(),
-                sender, receiver,
-                List.of(), null,
-                null, TagOperator.AND, false);
-
-        DocumentSearchResult docs = documentService.searchDocuments(filters, DocumentSort.DATE, "desc", pageable);
-        boolean keywordsApplied = !text.isBlank();
-        NlQueryInterpretation interpretation = new NlQueryInterpretation(
-                resolved, List.of(), ext.dateFrom(), ext.dateTo(), keywords, ext.rawQuery(), keywordsApplied);
-        return new NlSearchResponse(docs, interpretation);
-    }
-
-    private NameResolution resolveNames(List<String> personNames) {
-        List<PersonHint> resolved = new ArrayList<>();
-        List<PersonHint> ambiguous = new ArrayList<>();
-        List<String> noMatchFragments = new ArrayList<>();
-        List<String> extraFragments = new ArrayList<>();
-
-        int resolvedIndex = 0;
-        for (String name : personNames) {
-            if (name == null || name.length() > MAX_NAME_LENGTH) {
-                log.debug("Skipping name fragment (too long or null): length={}", name == null ? 0 : name.length());
-                continue;
-            }
-            List<Person> candidates = personService.findByDisplayNameContaining(name);
-            List<Person> capped = candidates.size() > MAX_CANDIDATES
-                    ? candidates.subList(0, MAX_CANDIDATES)
-                    : candidates;
-
-            if (capped.isEmpty()) {
-                noMatchFragments.add(name);
-            } else if (capped.size() == 1) {
-                Person p = capped.get(0);
-                PersonHint hint = new PersonHint(p.getId(), p.getDisplayName());
-                resolvedIndex++;
-                if (resolvedIndex <= 2) {
-                    resolved.add(hint);
-                } else {
-                    extraFragments.add(name);
-                }
-            } else {
-                capped.forEach(p -> ambiguous.add(new PersonHint(p.getId(), p.getDisplayName())));
-            }
-        }
-
-        return new NameResolution(resolved, ambiguous, noMatchFragments, extraFragments);
-    }
-
-    private String buildText(List<String> keywords, List<String> noMatchFragments,
-                             List<String> extraFragments, String rawQuery) {
-        List<String> parts = new ArrayList<>();
-        parts.addAll(keywords);
-        parts.addAll(noMatchFragments);
-        parts.addAll(extraFragments);
-        String text = String.join(" ", parts).strip();
-        if (text.isBlank() && rawQuery != null && !rawQuery.isBlank()) {
-            return rawQuery;
-        }
-        return text;
-    }
-
-    private boolean isAnyRole(String role) {
-        return role == null || "any".equals(role) || (!"sender".equals(role) && !"receiver".equals(role));
-    }
-
-    private UUID buildSender(List<PersonHint> resolved, String role) {
-        if (resolved.size() >= 2) return resolved.get(0).id();
-        if (resolved.size() == 1 && "sender".equals(role)) return resolved.get(0).id();
-        return null;
-    }
-
-    private UUID buildReceiver(List<PersonHint> resolved, String role) {
-        if (resolved.size() >= 2) return resolved.get(1).id();
-        if (resolved.size() == 1 && "receiver".equals(role)) return resolved.get(0).id();
-        return null;
-    }
-
-    private record NameResolution(
-            List<PersonHint> resolved,
-            List<PersonHint> ambiguous,
-            List<String> noMatchFragments,
-            List<String> extraFragments
-    ) {}
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlSearchController.java

@@ -1,28 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import jakarta.validation.Valid;
-import lombok.RequiredArgsConstructor;
-import org.raddatz.familienarchiv.security.Permission;
-import org.raddatz.familienarchiv.security.RequirePermission;
-import org.springframework.data.domain.Pageable;
-import org.springframework.security.core.annotation.AuthenticationPrincipal;
-import org.springframework.security.core.userdetails.UserDetails;
-import org.springframework.web.bind.annotation.*;
-
-@RestController
-@RequestMapping("/api/search/nl")
-@RequiredArgsConstructor
-public class NlSearchController {
-
-    private final NlQueryParserService nlQueryParserService;
-    private final NlSearchRateLimiter rateLimiter;
-
-    @PostMapping
-    @RequirePermission(Permission.READ_ALL)
-    public NlSearchResponse search(@Valid @RequestBody NlSearchRequest request,
-                                   Pageable pageable,
-                                   @AuthenticationPrincipal UserDetails principal) {
-        rateLimiter.checkAndConsume(principal.getUsername());
-        return nlQueryParserService.search(request.query(), pageable);
-    }
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlSearchRateLimitProperties.java

@@ -1,12 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import lombok.Data;
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.stereotype.Component;
-
-@Component
-@ConfigurationProperties("app.nl-search.rate-limit")
-@Data
-public class NlSearchRateLimitProperties {
-    private int maxRequestsPerMinute = 5;
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlSearchRateLimiter.java

@@ -1,46 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import com.github.benmanes.caffeine.cache.Caffeine;
-import com.github.benmanes.caffeine.cache.LoadingCache;
-import io.github.bucket4j.Bandwidth;
-import io.github.bucket4j.Bucket;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-import org.springframework.stereotype.Service;
-
-import java.time.Duration;
-import java.util.concurrent.TimeUnit;
-
-@Service
-public class NlSearchRateLimiter {
-
-    private final LoadingCache<String, Bucket> byUser;
-    private final int maxRequestsPerMinute;
-
-    public NlSearchRateLimiter(NlSearchRateLimitProperties props) {
-        this.maxRequestsPerMinute = props.getMaxRequestsPerMinute();
-        this.byUser = Caffeine.newBuilder()
-                .expireAfterAccess(1, TimeUnit.MINUTES)
-                .build(key -> newBucket(maxRequestsPerMinute));
-    }
-
-    public void checkAndConsume(String userKey) {
-        if (!byUser.get(userKey).tryConsume(1)) {
-            throw DomainException.tooManyRequests(ErrorCode.SMART_SEARCH_RATE_LIMITED,
-                    "NL search rate limit exceeded for user: " + userKey, 60L);
-        }
-    }
-
-    void resetForTest() {
-        byUser.invalidateAll();
-    }
-
-    private static Bucket newBucket(int limit) {
-        return Bucket.builder()
-                .addLimit(Bandwidth.builder()
-                        .capacity(limit)
-                        .refillGreedy(limit, Duration.ofMinutes(1))
-                        .build())
-                .build();
-    }
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlSearchRequest.java

@@ -1,11 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import jakarta.validation.constraints.NotBlank;
-import jakarta.validation.constraints.Size;
-
-public record NlSearchRequest(
-        @NotBlank
-        @Size(min = 3, max = 500)
-        String query
-) {
-}

backend/src/main/java/org/raddatz/familienarchiv/search/NlSearchResponse.java

@@ -1,12 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import io.swagger.v3.oas.annotations.media.Schema;
-import org.raddatz.familienarchiv.document.DocumentSearchResult;
-
-public record NlSearchResponse(
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        DocumentSearchResult result,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        NlQueryInterpretation interpretation
-) {
-}

backend/src/main/java/org/raddatz/familienarchiv/search/OllamaClient.java

@@ -1,5 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-public interface OllamaClient {
-    OllamaExtraction parse(String query);
-}

backend/src/main/java/org/raddatz/familienarchiv/search/OllamaExtraction.java

@@ -1,18 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import java.time.LocalDate;
-import java.util.List;
-
-/**
- * Raw structured output from Ollama after parsing and sanitising.
- * personRole is always one of "sender", "receiver", "any" — defensive parsing ensures this.
- */
-record OllamaExtraction(
-        List<String> personNames,
-        String personRole,
-        LocalDate dateFrom,
-        LocalDate dateTo,
-        List<String> keywords,
-        String rawQuery
-) {
-}

backend/src/main/java/org/raddatz/familienarchiv/search/OllamaHealthClient.java

@@ -1,5 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-public interface OllamaHealthClient {
-    boolean isHealthy();
-}

backend/src/main/java/org/raddatz/familienarchiv/search/OllamaProperties.java

@@ -1,15 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import lombok.Data;
-import org.springframework.boot.context.properties.ConfigurationProperties;
-import org.springframework.stereotype.Component;
-
-@Component
-@ConfigurationProperties("app.ollama")
-@Data
-public class OllamaProperties {
-    private String baseUrl;
-    private String model;
-    private int timeoutSeconds = 30;
-    private int healthCheckTimeoutSeconds = 2;
-}

backend/src/main/java/org/raddatz/familienarchiv/search/PersonHint.java

@@ -1,13 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import io.swagger.v3.oas.annotations.media.Schema;
-
-import java.util.UUID;
-
-public record PersonHint(
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        UUID id,
-        @Schema(requiredMode = Schema.RequiredMode.REQUIRED)
-        String displayName
-) {
-}

backend/src/main/java/org/raddatz/familienarchiv/search/RestClientOllamaClient.java

@@ -1,184 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
-import com.fasterxml.jackson.annotation.JsonProperty;
-import com.fasterxml.jackson.databind.ObjectMapper;
-import lombok.extern.slf4j.Slf4j;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-import org.springframework.http.client.JdkClientHttpRequestFactory;
-import org.springframework.stereotype.Service;
-import org.springframework.web.client.RestClient;
-import org.springframework.web.client.RestClientException;
-
-import java.net.http.HttpClient;
-import java.time.Duration;
-import java.time.LocalDate;
-import java.time.Year;
-import java.time.format.DateTimeFormatter;
-import java.time.format.DateTimeParseException;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
-
-@Service
-@Slf4j
-public class RestClientOllamaClient implements OllamaClient, OllamaHealthClient {
-
-    private static final ObjectMapper MAPPER = new ObjectMapper();
-    private static final Set<String> VALID_ROLES = Set.of("sender", "receiver", "any");
-    private static final int MAX_NAME_LENGTH = 200;
-    private static final int MAX_KEYWORD_LENGTH = 100;
-
-    private static final Map<String, Object> JSON_SCHEMA = Map.of(
-            "type", "object",
-            "required", List.of("personNames", "personRole", "keywords"),
-            "properties", Map.of(
-                    "personNames", Map.of("type", "array", "items", Map.of("type", "string", "maxLength", MAX_NAME_LENGTH)),
-                    "personRole", Map.of("type", "string", "enum", List.of("sender", "receiver", "any")),
-                    "dateFrom", Map.of("type", List.of("string", "null"), "maxLength", 20),
-                    "dateTo", Map.of("type", List.of("string", "null"), "maxLength", 20),
-                    "keywords", Map.of("type", "array", "items", Map.of("type", "string", "maxLength", MAX_KEYWORD_LENGTH))
-            )
-    );
-
-    private final RestClient inferenceClient;
-    private final RestClient healthClient;
-    private final OllamaProperties props;
-
-    public RestClientOllamaClient(OllamaProperties props) {
-        this.props = props;
-
-        HttpClient inferenceHttp = HttpClient.newBuilder()
-                .version(HttpClient.Version.HTTP_1_1)
-                .connectTimeout(Duration.ofSeconds(10))
-                .build();
-        JdkClientHttpRequestFactory inferenceFactory = new JdkClientHttpRequestFactory(inferenceHttp);
-        inferenceFactory.setReadTimeout(Duration.ofSeconds(props.getTimeoutSeconds()));
-        this.inferenceClient = RestClient.builder()
-                .baseUrl(props.getBaseUrl())
-                .requestFactory(inferenceFactory)
-                .build();
-
-        HttpClient healthHttp = HttpClient.newBuilder()
-                .version(HttpClient.Version.HTTP_1_1)
-                .connectTimeout(Duration.ofSeconds(props.getHealthCheckTimeoutSeconds()))
-                .build();
-        JdkClientHttpRequestFactory healthFactory = new JdkClientHttpRequestFactory(healthHttp);
-        healthFactory.setReadTimeout(Duration.ofSeconds(props.getHealthCheckTimeoutSeconds()));
-        this.healthClient = RestClient.builder()
-                .baseUrl(props.getBaseUrl())
-                .requestFactory(healthFactory)
-                .build();
-    }
-
-    @Override
-    public OllamaExtraction parse(String query) {
-        try {
-            OllamaGenerateRequest request = new OllamaGenerateRequest(
-                    props.getModel(), query, JSON_SCHEMA, false);
-            String responseBody = inferenceClient.post()
-                    .uri("/api/generate")
-                    .contentType(org.springframework.http.MediaType.APPLICATION_JSON)
-                    .body(request)
-                    .retrieve()
-                    .body(String.class);
-            return parseOllamaResponse(responseBody, query);
-        } catch (DomainException e) {
-            throw e;
-        } catch (Exception e) {
-            log.warn("Ollama inference failed: {}", e.getClass().getSimpleName());
-            throw DomainException.serviceUnavailable(ErrorCode.SMART_SEARCH_UNAVAILABLE,
-                    "Ollama unavailable: " + e.getClass().getSimpleName());
-        }
-    }
-
-    @Override
-    public boolean isHealthy() {
-        try {
-            healthClient.get().uri("/api/tags").retrieve().toBodilessEntity();
-            return true;
-        } catch (Exception e) {
-            return false;
-        }
-    }
-
-    private OllamaExtraction parseOllamaResponse(String responseBody, String rawQuery) {
-        try {
-            OllamaGenerateResponse response = MAPPER.readValue(responseBody, OllamaGenerateResponse.class);
-            String inner = response.response();
-            if (inner == null || inner.isBlank()) {
-                return fallbackExtraction(rawQuery);
-            }
-            RawOllamaOutput raw = MAPPER.readValue(inner, RawOllamaOutput.class);
-            return toExtraction(raw, rawQuery);
-        } catch (Exception e) {
-            log.warn("Failed to parse Ollama response: {}", e.getClass().getSimpleName());
-            throw DomainException.serviceUnavailable(ErrorCode.SMART_SEARCH_UNAVAILABLE,
-                    "Failed to parse Ollama response: " + e.getClass().getSimpleName());
-        }
-    }
-
-    private OllamaExtraction toExtraction(RawOllamaOutput raw, String rawQuery) {
-        List<String> names = raw.personNames() == null ? List.of() : raw.personNames().stream()
-                .filter(n -> n != null && n.length() <= MAX_NAME_LENGTH)
-                .toList();
-        List<String> keywords = raw.keywords() == null ? List.of() : raw.keywords().stream()
-                .filter(k -> k != null && k.length() <= MAX_KEYWORD_LENGTH)
-                .toList();
-        String role = sanitiseRole(raw.personRole());
-        LocalDate dateFrom = parseDate(raw.dateFrom(), true);
-        LocalDate dateTo = parseDate(raw.dateTo(), false);
-        return new OllamaExtraction(names, role, dateFrom, dateTo, keywords, rawQuery);
-    }
-
-    private OllamaExtraction fallbackExtraction(String rawQuery) {
-        return new OllamaExtraction(List.of(), "any", null, null, List.of(), rawQuery);
-    }
-
-    private String sanitiseRole(String role) {
-        if (role != null && VALID_ROLES.contains(role)) {
-            return role;
-        }
-        log.warn("Unexpected personRole from Ollama: {}", role);
-        return "any";
-    }
-
-    private LocalDate parseDate(String raw, boolean isFrom) {
-        if (raw == null || raw.isBlank()) return null;
-        try {
-            return LocalDate.parse(raw, DateTimeFormatter.ISO_LOCAL_DATE);
-        } catch (DateTimeParseException ignored) {
-        }
-        try {
-            int year = Integer.parseInt(raw.strip());
-            if (year > 1000 && year < 3000) {
-                return isFrom ? Year.of(year).atDay(1) : Year.of(year).atMonth(12).atEndOfMonth();
-            }
-        } catch (NumberFormatException ignored) {
-        }
-        return null;
-    }
-
-    @JsonIgnoreProperties(ignoreUnknown = true)
-    private record OllamaGenerateResponse(String response) {
-    }
-
-    @JsonIgnoreProperties(ignoreUnknown = true)
-    private record RawOllamaOutput(
-            @JsonProperty("personNames") List<String> personNames,
-            @JsonProperty("personRole") String personRole,
-            @JsonProperty("dateFrom") String dateFrom,
-            @JsonProperty("dateTo") String dateTo,
-            @JsonProperty("keywords") List<String> keywords
-    ) {
-    }
-
-    private record OllamaGenerateRequest(
-            String model,
-            String prompt,
-            Object format,
-            boolean stream
-    ) {
-    }
-}

backend/src/main/java/org/raddatz/familienarchiv/tag/TagService.java

@@ -46,6 +46,10 @@ public class TagService {
         return enrichWithRelatives(matched);
     }
 
+    public List<Tag> findByNameContaining(String fragment) {
+        return tagRepository.findByNameContainingIgnoreCase(fragment);
+    }
+
     public Tag getById(UUID id) {
         return tagRepository.findById(id)
                 .orElseThrow(() -> DomainException.notFound(ErrorCode.TAG_NOT_FOUND, "Tag not found: " + id));

backend/src/main/resources/application-dev.yaml

@@ -12,6 +12,3 @@ springdoc:
     enabled: true
     path: /swagger-ui.html
 
-app:
-  ollama:
-    base-url: http://localhost:11434

backend/src/main/resources/application.yaml

@@ -130,16 +130,6 @@ app:
     # The loader maps columns by header name — no positional indices (see ADR-025).
     dir: ${IMPORT_DIR:/import}
 
-  ollama:
-    base-url: http://ollama:11434
-    model: qwen2.5:7b-instruct-q4_K_M
-    timeout-seconds: 30
-    health-check-timeout-seconds: 2
-
-  nl-search:
-    rate-limit:
-      max-requests-per-minute: 5
-
 ocr:
   sender-model:
     activation-threshold: 100

backend/src/test/java/org/raddatz/familienarchiv/person/PersonRepositoryTest.java

@@ -428,6 +428,67 @@ class PersonRepositoryTest {
         assertThat(results).hasSize(1);
     }
 
+    @Test
+    void searchByName_findsByAliasFirstName() {
+        Person clara = personRepository.save(Person.builder().firstName("Clara").lastName("Cram").build());
+        aliasRepository.save(PersonNameAlias.builder()
+                .person(clara).firstName("Wilhelmina").lastName("de Gruyter")
+                .type(PersonNameAliasType.BIRTH).sortOrder(0).build());
+
+        List<Person> results = personRepository.searchByName("Wilhelmina");
+
+        assertThat(results).hasSize(1);
+        assertThat(results.get(0).getLastName()).isEqualTo("Cram");
+    }
+
+    @Test
+    void searchByName_ordersByLastNameThenFirstName() {
+        personRepository.save(Person.builder().firstName("Clara").lastName("Cram").build());
+        personRepository.save(Person.builder().firstName("Anna").lastName("Cram").build());
+        personRepository.save(Person.builder().firstName("Bernd").lastName("Cram").build());
+
+        List<Person> results = personRepository.searchByName("Cram");
+
+        assertThat(results).extracting(Person::getFirstName)
+                .containsExactly("Anna", "Bernd", "Clara");
+    }
+
+    // ─── resolveByName fetch→classify, end-to-end on real Postgres (#763 review) ───
+    // The classifier unit tests in PersonServiceTest stub searchByName, so they never prove the
+    // fetch query actually finds an alias-only match and feeds it into classification. These walk
+    // the whole searchByName → resolveByName path over the real Postgres slice, closing AC#4/#5.
+
+    @Test
+    void resolveByName_maidenAlias_classifiesAsDirect_endToEnd() {
+        PersonService personService = new PersonService(personRepository, aliasRepository);
+        Person clara = personRepository.save(Person.builder().firstName("Clara").lastName("Müller").build());
+        aliasRepository.save(PersonNameAlias.builder()
+                .person(clara).lastName("Cram").type(PersonNameAliasType.MAIDEN_NAME).sortOrder(0).build());
+        // Detach so resolveByName re-fetches with its lazy nameAliases loaded from the DB —
+        // the fresh-session behaviour the @Transactional(readOnly=true) path has in production.
+        entityManager.flush();
+        entityManager.clear();
+
+        NameMatches matches = personService.resolveByName("Clara Cram");
+
+        assertThat(matches.direct()).extracting(Person::getId).containsExactly(clara.getId());
+    }
+
+    @Test
+    void resolveByName_aliasFirstName_classifiesAsDirect_endToEnd() {
+        PersonService personService = new PersonService(personRepository, aliasRepository);
+        Person clara = personRepository.save(Person.builder().firstName("Clara").lastName("Cram").build());
+        aliasRepository.save(PersonNameAlias.builder()
+                .person(clara).firstName("Wilhelmina").lastName("de Gruyter")
+                .type(PersonNameAliasType.BIRTH).sortOrder(0).build());
+        entityManager.flush();
+        entityManager.clear();
+
+        NameMatches matches = personService.resolveByName("Wilhelmina");
+
+        assertThat(matches.direct()).extracting(Person::getId).containsExactly(clara.getId());
+    }
+
     // ─── searchWithDocumentCount with aliases ────────────────────────────────
 
     @Test

backend/src/test/java/org/raddatz/familienarchiv/person/PersonServiceTest.java

@@ -909,4 +909,154 @@ class PersonServiceTest {
         assertThat(result).containsExactly(walter);
         verify(personRepository).searchByName("Walter");
     }
+
+    // ─── tokenize (name-match contract) ───────────────────────────────────────
+
+    @Test
+    void tokenize_hyphenatedName_splitsOnHyphen() {
+        assertThat(PersonService.tokenize("Anna-Maria")).containsExactly("anna", "maria");
+    }
+
+    @Test
+    void tokenize_apostropheName_splitsOnApostrophe() {
+        assertThat(PersonService.tokenize("D'Angelo")).containsExactly("d", "angelo");
+    }
+
+    @Test
+    void tokenize_umlautName_lowercasesToSingleToken() {
+        assertThat(PersonService.tokenize("Müller")).containsExactly("müller");
+    }
+
+    @Test
+    void tokenize_doubleSpace_dropsEmptyTokens() {
+        assertThat(PersonService.tokenize("Clara  Cram")).containsExactly("clara", "cram");
+    }
+
+    @Test
+    void tokenize_allWhitespace_returnsEmpty() {
+        assertThat(PersonService.tokenize("   ")).isEmpty();
+    }
+
+    @Test
+    void tokenize_null_returnsEmpty() {
+        assertThat(PersonService.tokenize(null)).isEmpty();
+    }
+
+    // ─── resolveByName (direct / partial classification) ──────────────────────
+
+    @Test
+    void resolveByName_singleDirectMatch_classifiesAsDirect() {
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cram").build();
+        when(personRepository.searchByName("clara")).thenReturn(List.of(clara));
+        when(personRepository.searchByName("cram")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.direct()).containsExactly(clara);
+    }
+
+    @Test
+    void resolveByName_maidenAliasToken_classifiesAsDirect() {
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Müller")
+                .nameAliases(List.of(PersonNameAlias.builder().lastName("Cram")
+                        .type(PersonNameAliasType.MAIDEN_NAME).build()))
+                .build();
+        when(personRepository.searchByName("clara")).thenReturn(List.of(clara));
+        when(personRepository.searchByName("cram")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.direct()).containsExactly(clara);
+    }
+
+    @Test
+    void resolveByName_aliasFirstNameToken_isFetchedAndClassified() {
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cram")
+                .nameAliases(List.of(PersonNameAlias.builder().firstName("Wilhelmina").lastName("de Gruyter")
+                        .type(PersonNameAliasType.BIRTH).build()))
+                .build();
+        when(personRepository.searchByName("wilhelmina")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Wilhelmina");
+
+        assertThat(result.direct()).containsExactly(clara);
+    }
+
+    @Test
+    void resolveByName_middleName_stillDirect() {
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara Maria").lastName("Cram").build();
+        when(personRepository.searchByName("clara")).thenReturn(List.of(clara));
+        when(personRepository.searchByName("cram")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.direct()).containsExactly(clara);
+    }
+
+    @Test
+    void resolveByName_reorderedTokens_stillDirect() {
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cram").build();
+        when(personRepository.searchByName("cram")).thenReturn(List.of(clara));
+        when(personRepository.searchByName("clara")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Cram Clara");
+
+        assertThat(result.direct()).containsExactly(clara);
+    }
+
+    @Test
+    void resolveByName_cramVsCramer_classifiesAsPartial() {
+        Person cramer = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cramer").build();
+        when(personRepository.searchByName("clara")).thenReturn(List.of(cramer));
+        when(personRepository.searchByName("cram")).thenReturn(List.of(cramer));
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.partial()).containsExactly(cramer);
+    }
+
+    @Test
+    void resolveByName_emptyAfterTokenizing_returnsNoCandidates() {
+        NameMatches result = personService.resolveByName("  -  ");
+
+        assertThat(result.direct()).isEmpty();
+        verify(personRepository, never()).searchByName(any());
+    }
+
+    @Test
+    void resolveByName_directSortsBeyondCap_stillReturnedAsDirect() {
+        List<Person> pool = new java.util.ArrayList<>();
+        for (int i = 0; i < 10; i++) {
+            pool.add(Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cramer").build());
+        }
+        Person direct = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cram").build();
+        pool.add(direct);
+        when(personRepository.searchByName("clara")).thenReturn(pool);
+        when(personRepository.searchByName("cram")).thenReturn(pool);
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.direct()).containsExactly(direct);
+    }
+
+    @Test
+    void resolveByName_over8Tokens_issuesAtMost8Fetches() {
+        personService.resolveByName("a b c d e f g h i j");
+
+        verify(personRepository, org.mockito.Mockito.atMost(8)).searchByName(any());
+    }
+
+    @Test
+    void resolveByName_samePersonFromTwoTokens_appearsOnce() {
+        // Both token fetches return the same person id — fetchPool's putIfAbsent must dedup so the
+        // candidate is classified once, not twice.
+        Person clara = Person.builder().id(UUID.randomUUID()).firstName("Clara").lastName("Cram").build();
+        when(personRepository.searchByName("clara")).thenReturn(List.of(clara));
+        when(personRepository.searchByName("cram")).thenReturn(List.of(clara));
+
+        NameMatches result = personService.resolveByName("Clara Cram");
+
+        assertThat(result.direct()).hasSize(1);
+        assertThat(result.partial()).isEmpty();
+    }
 }

backend/src/test/java/org/raddatz/familienarchiv/search/NlQueryParserServiceTest.java

@@ -1,440 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Test;
-import org.mockito.ArgumentCaptor;
-import org.mockito.Mock;
-import org.mockito.MockitoAnnotations;
-import org.raddatz.familienarchiv.document.DocumentSearchResult;
-import org.raddatz.familienarchiv.document.DocumentService;
-import org.raddatz.familienarchiv.document.DocumentSort;
-import org.raddatz.familienarchiv.document.SearchFilters;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-import org.raddatz.familienarchiv.person.Person;
-import org.raddatz.familienarchiv.person.PersonService;
-import org.raddatz.familienarchiv.tag.TagOperator;
-import org.springframework.data.domain.PageRequest;
-import org.springframework.data.domain.Pageable;
-
-import java.time.LocalDate;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.UUID;
-
-import static org.assertj.core.api.Assertions.assertThat;
-import static org.assertj.core.api.Assertions.assertThatThrownBy;
-import static org.mockito.ArgumentMatchers.*;
-import static org.mockito.Mockito.*;
-
-class NlQueryParserServiceTest {
-
-    @Mock OllamaClient ollamaClient;
-    @Mock PersonService personService;
-    @Mock DocumentService documentService;
-
-    NlQueryParserService service;
-
-    static final Pageable PAGE = PageRequest.of(0, 20);
-
-    @BeforeEach
-    void setUp() {
-        MockitoAnnotations.openMocks(this);
-        service = new NlQueryParserService(ollamaClient, personService, documentService);
-        when(documentService.searchDocuments(any(), any(), any(), any()))
-                .thenReturn(DocumentSearchResult.of(List.of()));
-        when(documentService.searchDocumentsByPersonId(any(), any(), any(), any()))
-                .thenReturn(DocumentSearchResult.of(List.of()));
-    }
-
-    // --- Factory helpers ---
-
-    private OllamaExtraction extraction(List<String> names, String role, LocalDate from, LocalDate to,
-                                         List<String> keywords) {
-        String raw = names.isEmpty() ? "test query" : String.join(" ", names);
-        return new OllamaExtraction(names, role, from, to, keywords, raw);
-    }
-
-    private Person person(UUID id, String firstName, String lastName) {
-        return Person.builder().id(id).firstName(firstName).lastName(lastName).build();
-    }
-
-    private static final UUID P1 = UUID.fromString("00000000-0000-0000-0000-000000000001");
-    private static final UUID P2 = UUID.fromString("00000000-0000-0000-0000-000000000002");
-    private static final UUID P3 = UUID.fromString("00000000-0000-0000-0000-000000000003");
-
-    // --- 1. Single resolved name + personRole=sender ---
-
-    @Test
-    void search_resolvesSingleName_asSender() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter"), "sender", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-
-        NlSearchResponse resp = service.search("Was hat Walter geschrieben?", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), eq(DocumentSort.DATE), eq("desc"), eq(PAGE));
-        assertThat(cap.getValue().sender()).isEqualTo(P1);
-        assertThat(cap.getValue().receiver()).isNull();
-        assertThat(resp.interpretation().resolvedPersons()).hasSize(1);
-        assertThat(resp.interpretation().resolvedPersons().get(0).id()).isEqualTo(P1);
-        assertThat(resp.interpretation().ambiguousPersons()).isEmpty();
-    }
-
-    // --- 2. Multi-match name → ambiguous, search NOT executed ---
-
-    @Test
-    void search_multiMatchName_populatesAmbiguous_andSkipsSearch() {
-        Person a = person(UUID.randomUUID(), "Walter", "Braun");
-        Person b = person(UUID.randomUUID(), "Walter", "Schmidt");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter"), "sender", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(a, b));
-
-        NlSearchResponse resp = service.search("Briefe von Walter", PAGE);
-
-        verify(documentService, never()).searchDocuments(any(), any(), any(), any());
-        verify(documentService, never()).searchDocumentsByPersonId(any(), any(), any(), any());
-        assertThat(resp.interpretation().ambiguousPersons()).hasSize(2);
-        assertThat(resp.interpretation().resolvedPersons()).isEmpty();
-    }
-
-    // --- 3. Multi-match + personRole=any → still ambiguous, search NOT executed ---
-
-    @Test
-    void search_multiMatchName_withPersonRoleAny_stillSkipsSearch() {
-        Person a = person(UUID.randomUUID(), "Emma", "Braun");
-        Person b = person(UUID.randomUUID(), "Emma", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Emma"), "any", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(a, b));
-
-        NlSearchResponse resp = service.search("Briefe an Emma", PAGE);
-
-        verify(documentService, never()).searchDocuments(any(), any(), any(), any());
-        verify(documentService, never()).searchDocumentsByPersonId(any(), any(), any(), any());
-        assertThat(resp.interpretation().ambiguousPersons()).hasSize(2);
-    }
-
-    // --- 4. No-match name → folded into text ---
-
-    @Test
-    void search_noMatchName_isFoldedIntoText() {
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Karl"), "any", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Karl")).thenReturn(List.of());
-
-        service.search("Briefe von Karl", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().text()).contains("Karl");
-        assertThat(cap.getValue().sender()).isNull();
-        assertThat(cap.getValue().receiver()).isNull();
-    }
-
-    // --- 5. personRole=any + 1 resolved → searchDocumentsByPersonId called ---
-
-    @Test
-    void search_personRoleAny_singleMatch_callsSearchDocumentsByPersonId() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter"), "any", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-
-        NlSearchResponse resp = service.search("Briefe von Walter", PAGE);
-
-        verify(documentService).searchDocumentsByPersonId(eq(P1), isNull(), isNull(), eq(PAGE));
-        verify(documentService, never()).searchDocuments(any(), any(), any(), any());
-        assertThat(resp.interpretation().keywordsApplied()).isFalse();
-    }
-
-    // --- 6. 2 names both resolve → sender=person1, receiver=person2 ---
-
-    @Test
-    void search_twoNamesResolve_assignsSenderAndReceiver() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        Person emma = person(P2, "Emma", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter", "Emma"), "any", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(emma));
-
-        NlSearchResponse resp = service.search("Briefe von Walter an Emma", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), eq(DocumentSort.DATE), eq("desc"), eq(PAGE));
-        assertThat(cap.getValue().sender()).isEqualTo(P1);
-        assertThat(cap.getValue().receiver()).isEqualTo(P2);
-        assertThat(resp.interpretation().resolvedPersons().get(0).id()).isEqualTo(P1);
-        assertThat(resp.interpretation().resolvedPersons().get(1).id()).isEqualTo(P2);
-    }
-
-    // --- 7. 2 names, first resolves, second ambiguous → search NOT executed ---
-
-    @Test
-    void search_twoNames_secondAmbiguous_skipsSearch() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        Person emma1 = person(P2, "Emma", "Braun");
-        Person emma2 = person(P3, "Emma", "Schmidt");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter", "Emma"), "sender", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(emma1, emma2));
-
-        NlSearchResponse resp = service.search("Briefe von Walter an Emma", PAGE);
-
-        verify(documentService, never()).searchDocuments(any(), any(), any(), any());
-        assertThat(resp.interpretation().ambiguousPersons()).hasSize(2);
-    }
-
-    // --- 8. 2 names, first no match → folded into text, second used as single person ---
-
-    @Test
-    void search_twoNames_firstNoMatch_secondResolved_foldFirstIntoText() {
-        Person emma = person(P2, "Emma", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Karl", "Emma"), "sender", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Karl")).thenReturn(List.of());
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(emma));
-
-        service.search("Briefe von Karl an Emma", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().text()).contains("Karl");
-        assertThat(cap.getValue().sender()).isEqualTo(P2);
-    }
-
-    // --- 9. 3+ names all resolve → first two as sender/receiver, third folded into text ---
-
-    @Test
-    void search_threeNamesResolve_extraFoldedIntoText() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        Person emma = person(P2, "Emma", "Raddatz");
-        Person heinrich = person(P3, "Heinrich", "Braun");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter", "Emma", "Heinrich"), "any", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(emma));
-        when(personService.findByDisplayNameContaining("Heinrich")).thenReturn(List.of(heinrich));
-
-        service.search("Briefe von Walter an Emma über Heinrich", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().sender()).isEqualTo(P1);
-        assertThat(cap.getValue().receiver()).isEqualTo(P2);
-        assertThat(cap.getValue().text()).contains("Heinrich");
-    }
-
-    // --- 10. Keywords space-joined into text ---
-
-    @Test
-    void search_keywords_areJoinedIntoText() {
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(), "any", null, null, List.of("Krieg", "Walter")));
-
-        service.search("Dokumente über den Krieg Walter", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().text()).isEqualTo("Krieg Walter");
-    }
-
-    // --- 11. Date range passed through ---
-
-    @Test
-    void search_dateRange_passedIntoSearchFilters() {
-        LocalDate from = LocalDate.of(1914, 1, 1);
-        LocalDate to = LocalDate.of(1914, 12, 31);
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(), "any", from, to, List.of()));
-
-        service.search("Briefe aus dem Jahr 1914", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().from()).isEqualTo(from);
-        assertThat(cap.getValue().to()).isEqualTo(to);
-    }
-
-    // --- 12. Null dates → null in SearchFilters (not an error) ---
-
-    @Test
-    void search_nullDates_passedAsNullIntoFilters() {
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(), "any", null, null, List.of("Hochzeit")));
-
-        service.search("Hochzeitsbriefe", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().from()).isNull();
-        assertThat(cap.getValue().to()).isNull();
-    }
-
-    // --- 13. Query under 3 chars → VALIDATION_ERROR before Ollama call ---
-
-    @Test
-    void search_queryTooShort_throwsValidationError() {
-        assertThatThrownBy(() -> service.search("ab", PAGE))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.VALIDATION_ERROR);
-
-        verify(ollamaClient, never()).parse(anyString());
-    }
-
-    // --- 14. Query over 500 chars → VALIDATION_ERROR ---
-
-    @Test
-    void search_queryTooLong_throwsValidationError() {
-        String longQuery = "a".repeat(501);
-        assertThatThrownBy(() -> service.search(longQuery, PAGE))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.VALIDATION_ERROR);
-
-        verify(ollamaClient, never()).parse(anyString());
-    }
-
-    // --- 15. Ollama returns empty names/keywords → raw query used as keyword fallback ---
-
-    @Test
-    void search_ollamaReturnsEmpty_usesRawQueryAsTextFallback() {
-        String raw = "Briefe aus dem Krieg";
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(new OllamaExtraction(List.of(), "any", null, null, List.of(), raw));
-
-        service.search(raw, PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().text()).isEqualTo(raw);
-    }
-
-    // --- 16. Null personNames/keywords from Ollama → no NPE ---
-
-    @Test
-    void search_nullPersonNamesAndKeywords_handledWithoutNpe() {
-        OllamaExtraction ext = new OllamaExtraction(null, "any", null, null, null, "test query");
-        when(ollamaClient.parse(anyString())).thenReturn(ext);
-
-        NlSearchResponse resp = service.search("test query", PAGE);
-
-        assertThat(resp).isNotNull();
-        verify(documentService).searchDocuments(any(), any(), any(), any());
-    }
-
-    // --- 17. Unrecognized personRole → defaults to any-like behavior (no crash) ---
-
-    @Test
-    void search_unrecognizedPersonRole_treatedLikeAny_withSingleResolvedPerson() {
-        Person walter = person(P1, "Walter", "Raddatz");
-        // OllamaClient defensive parsing returns "any" for unknown roles,
-        // but NlQueryParserService must also be safe if something unexpected arrives.
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(new OllamaExtraction(List.of("Walter"), "unknown_role", null, null, List.of(), "query"));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(List.of(walter));
-
-        NlSearchResponse resp = service.search("Briefe von Walter", PAGE);
-
-        // Should not crash; "unknown_role" treated as fallback (neither sender nor receiver → any)
-        assertThat(resp).isNotNull();
-    }
-
-    // --- 18. Ollama throws SMART_SEARCH_UNAVAILABLE → propagates to caller ---
-
-    @Test
-    void search_ollamaThrowsUnavailable_propagates() {
-        when(ollamaClient.parse(anyString()))
-                .thenThrow(DomainException.tooManyRequests(ErrorCode.SMART_SEARCH_UNAVAILABLE, "offline"));
-
-        assertThatThrownBy(() -> service.search("Was hat Walter geschrieben?", PAGE))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.SMART_SEARCH_UNAVAILABLE);
-    }
-
-    // --- 19. LLM-extracted name > 200 chars → skipped, PersonService never called ---
-
-    @Test
-    void search_nameLongerThan200Chars_isSkippedBeforePersonServiceCall() {
-        String longName = "A".repeat(201);
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(longName), "sender", null, null, List.of()));
-
-        service.search("Briefe von sehr langem Namen", PAGE);
-
-        verify(personService, never()).findByDisplayNameContaining(anyString());
-    }
-
-    // --- 20. Max 10 candidates cap: 11 persons returned → only first 10 in ambiguousPersons ---
-
-    @Test
-    void search_elevenCandidates_capsAtTen() {
-        List<Person> eleven = new ArrayList<>();
-        for (int i = 0; i < 11; i++) {
-            eleven.add(person(UUID.randomUUID(), "Walter", "Person" + i));
-        }
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Walter"), "sender", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Walter")).thenReturn(eleven);
-
-        NlSearchResponse resp = service.search("Briefe von Walter", PAGE);
-
-        assertThat(resp.interpretation().ambiguousPersons()).hasSize(10);
-        verify(documentService, never()).searchDocuments(any(), any(), any(), any());
-    }
-
-    // --- 21. SearchFilters defaults: tagOperator=AND, status=null, undated=false, tags=empty ---
-
-    @Test
-    void search_searchFiltersDefaults_areCorrect() {
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(), "any", null, null, List.of("Krieg")));
-
-        service.search("Dokumente über den Krieg", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), eq(DocumentSort.DATE), eq("desc"), eq(PAGE));
-        SearchFilters f = cap.getValue();
-        assertThat(f.tagOperator()).isEqualTo(TagOperator.AND);
-        assertThat(f.status()).isNull();
-        assertThat(f.undated()).isFalse();
-        assertThat(f.tags()).isEmpty();
-        assertThat(f.tagQ()).isNull();
-    }
-
-    // --- 22. personRole=receiver + 1 resolved → receiver UUID set ---
-
-    @Test
-    void search_personRoleReceiver_singleMatch_setsReceiver() {
-        Person emma = person(P2, "Emma", "Raddatz");
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of("Emma"), "receiver", null, null, List.of()));
-        when(personService.findByDisplayNameContaining("Emma")).thenReturn(List.of(emma));
-
-        service.search("Briefe an Emma", PAGE);
-
-        ArgumentCaptor<SearchFilters> cap = ArgumentCaptor.forClass(SearchFilters.class);
-        verify(documentService).searchDocuments(cap.capture(), any(), any(), any());
-        assertThat(cap.getValue().receiver()).isEqualTo(P2);
-        assertThat(cap.getValue().sender()).isNull();
-    }
-
-    // --- 23. keywordsApplied=true when text is non-blank ---
-
-    @Test
-    void search_keywordsApplied_trueWhenTextNonBlank() {
-        when(ollamaClient.parse(anyString()))
-                .thenReturn(extraction(List.of(), "any", null, null, List.of("Feldpost")));
-
-        NlSearchResponse resp = service.search("Feldpost aus dem Krieg", PAGE);
-
-        assertThat(resp.interpretation().keywordsApplied()).isTrue();
-    }
-}

backend/src/test/java/org/raddatz/familienarchiv/search/NlSearchControllerTest.java

@@ -1,161 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import tools.jackson.databind.ObjectMapper;
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Test;
-import org.raddatz.familienarchiv.document.DocumentSearchResult;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-import org.raddatz.familienarchiv.security.SecurityConfig;
-import org.raddatz.familienarchiv.security.PermissionAspect;
-import org.raddatz.familienarchiv.user.CustomUserDetailsService;
-import org.springframework.beans.factory.annotation.Autowired;
-import org.springframework.boot.autoconfigure.aop.AopAutoConfiguration;
-import org.springframework.boot.webmvc.test.autoconfigure.WebMvcTest;
-import org.springframework.context.annotation.Import;
-import org.springframework.http.MediaType;
-import org.springframework.security.test.context.support.WithMockUser;
-import org.springframework.test.context.bean.override.mockito.MockitoBean;
-import org.springframework.test.web.servlet.MockMvc;
-
-import java.util.List;
-import java.util.UUID;
-
-import static org.mockito.ArgumentMatchers.*;
-import static org.mockito.Mockito.when;
-import static org.springframework.security.test.web.servlet.request.SecurityMockMvcRequestPostProcessors.csrf;
-import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.post;
-import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.*;
-
-@WebMvcTest(NlSearchController.class)
-@Import({SecurityConfig.class, PermissionAspect.class, AopAutoConfiguration.class,
-        NlSearchRateLimiter.class, NlSearchRateLimitProperties.class})
-class NlSearchControllerTest {
-
-    @Autowired MockMvc mockMvc;
-    private final ObjectMapper objectMapper = new ObjectMapper();
-
-    @MockitoBean NlQueryParserService nlQueryParserService;
-    @MockitoBean CustomUserDetailsService customUserDetailsService;
-    @Autowired NlSearchRateLimiter rateLimiter;
-
-    @BeforeEach
-    void resetRateLimiter() {
-        rateLimiter.resetForTest();
-    }
-
-    private NlSearchResponse makeResponse() {
-        PersonHint hint = new PersonHint(UUID.randomUUID(), "Walter Raddatz");
-        NlQueryInterpretation interp = new NlQueryInterpretation(
-                List.of(hint), List.of(), null, null,
-                List.of("Krieg"), "Briefe von Walter im Krieg", true);
-        return new NlSearchResponse(DocumentSearchResult.of(List.of()), interp);
-    }
-
-    // --- 1. Happy path ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns200_withNlSearchResponse() throws Exception {
-        when(nlQueryParserService.search(anyString(), any())).thenReturn(makeResponse());
-
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"Briefe von Walter im Krieg\"}"))
-                .andExpect(status().isOk())
-                .andExpect(jsonPath("$.interpretation.rawQuery").value("Briefe von Walter im Krieg"))
-                .andExpect(jsonPath("$.interpretation.resolvedPersons[0].displayName").value("Walter Raddatz"))
-                .andExpect(jsonPath("$.interpretation.keywordsApplied").value(true));
-    }
-
-    // --- 2. ambiguousPersons in response shape ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns200_withAmbiguousPersons() throws Exception {
-        PersonHint a = new PersonHint(UUID.randomUUID(), "Walter Braun");
-        PersonHint b = new PersonHint(UUID.randomUUID(), "Walter Schmidt");
-        NlQueryInterpretation interp = new NlQueryInterpretation(
-                List.of(), List.of(a, b), null, null,
-                List.of(), "Briefe von Walter", false);
-        NlSearchResponse resp = new NlSearchResponse(DocumentSearchResult.of(List.of()), interp);
-        when(nlQueryParserService.search(anyString(), any())).thenReturn(resp);
-
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"Briefe von Walter\"}"))
-                .andExpect(status().isOk())
-                .andExpect(jsonPath("$.interpretation.ambiguousPersons").isArray())
-                .andExpect(jsonPath("$.interpretation.ambiguousPersons[0].displayName").value("Walter Braun"))
-                .andExpect(jsonPath("$.interpretation.ambiguousPersons[1].id").isNotEmpty());
-    }
-
-    // --- 3. Unauthenticated → 401 ---
-
-    @Test
-    void search_returns401_whenUnauthenticated() throws Exception {
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"Briefe von Walter\"}"))
-                .andExpect(status().isUnauthorized());
-    }
-
-    // --- 4. Query < 3 chars → 400 ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns400_whenQueryTooShort() throws Exception {
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"ab\"}"))
-                .andExpect(status().isBadRequest());
-    }
-
-    // --- 5. Query > 500 chars → 400 ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns400_whenQueryTooLong() throws Exception {
-        String longQuery = "a".repeat(501);
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"" + longQuery + "\"}"))
-                .andExpect(status().isBadRequest());
-    }
-
-    // --- 6. Ollama unavailable → 503 ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns503_whenOllamaUnavailable() throws Exception {
-        when(nlQueryParserService.search(anyString(), any()))
-                .thenThrow(DomainException.serviceUnavailable(ErrorCode.SMART_SEARCH_UNAVAILABLE, "Ollama offline"));
-
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"Briefe von Walter\"}"))
-                .andExpect(status().isServiceUnavailable())
-                .andExpect(jsonPath("$.code").value("SMART_SEARCH_UNAVAILABLE"));
-    }
-
-    // --- 7. 6th request in 1 minute → 429 ---
-
-    @Test
-    @WithMockUser(username = "user@test.com", authorities = {"READ_ALL"})
-    void search_returns429_onSixthRequestWithinRateLimit() throws Exception {
-        when(nlQueryParserService.search(anyString(), any())).thenReturn(makeResponse());
-
-        for (int i = 0; i < 5; i++) {
-            mockMvc.perform(post("/api/search/nl").with(csrf())
-                            .contentType(MediaType.APPLICATION_JSON)
-                            .content("{\"query\":\"Briefe von Walter\"}"))
-                    .andExpect(status().isOk());
-        }
-
-        mockMvc.perform(post("/api/search/nl").with(csrf())
-                        .contentType(MediaType.APPLICATION_JSON)
-                        .content("{\"query\":\"Briefe von Walter\"}"))
-                .andExpect(status().isTooManyRequests())
-                .andExpect(jsonPath("$.code").value("SMART_SEARCH_RATE_LIMITED"));
-    }
-}

backend/src/test/java/org/raddatz/familienarchiv/search/NlSearchRateLimiterTest.java

@@ -1,62 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Test;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-
-import static org.assertj.core.api.Assertions.assertThatCode;
-import static org.assertj.core.api.Assertions.assertThatThrownBy;
-
-class NlSearchRateLimiterTest {
-
-    private NlSearchRateLimiter rateLimiter;
-
-    @BeforeEach
-    void setUp() {
-        NlSearchRateLimitProperties props = new NlSearchRateLimitProperties();
-        props.setMaxRequestsPerMinute(5);
-        rateLimiter = new NlSearchRateLimiter(props);
-    }
-
-    @Test
-    void checkAndConsume_allowsRequestsWithinLimit() {
-        for (int i = 0; i < 5; i++) {
-            assertThatCode(() -> rateLimiter.checkAndConsume("user@example.com"))
-                    .doesNotThrowAnyException();
-        }
-    }
-
-    @Test
-    void checkAndConsume_throwsRateLimited_onSixthRequest() {
-        for (int i = 0; i < 5; i++) {
-            rateLimiter.checkAndConsume("user@example.com");
-        }
-
-        assertThatThrownBy(() -> rateLimiter.checkAndConsume("user@example.com"))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.SMART_SEARCH_RATE_LIMITED);
-    }
-
-    @Test
-    void checkAndConsume_limitsAreIndependentPerUser() {
-        for (int i = 0; i < 5; i++) {
-            rateLimiter.checkAndConsume("alice@example.com");
-        }
-        assertThatCode(() -> rateLimiter.checkAndConsume("bob@example.com"))
-                .doesNotThrowAnyException();
-    }
-
-    @Test
-    void resetForTest_clearsAllBuckets() {
-        for (int i = 0; i < 5; i++) {
-            rateLimiter.checkAndConsume("user@example.com");
-        }
-
-        rateLimiter.resetForTest();
-
-        assertThatCode(() -> rateLimiter.checkAndConsume("user@example.com"))
-                .doesNotThrowAnyException();
-    }
-}

backend/src/test/java/org/raddatz/familienarchiv/search/RestClientOllamaClientTest.java

@@ -1,113 +0,0 @@
-package org.raddatz.familienarchiv.search;
-
-import com.github.tomakehurst.wiremock.WireMockServer;
-import com.github.tomakehurst.wiremock.core.WireMockConfiguration;
-import org.junit.jupiter.api.AfterEach;
-import org.junit.jupiter.api.BeforeEach;
-import org.junit.jupiter.api.Test;
-import org.raddatz.familienarchiv.exception.DomainException;
-import org.raddatz.familienarchiv.exception.ErrorCode;
-
-import static com.github.tomakehurst.wiremock.client.WireMock.*;
-import static org.assertj.core.api.Assertions.assertThat;
-import static org.assertj.core.api.Assertions.assertThatThrownBy;
-
-class RestClientOllamaClientTest {
-
-    private WireMockServer wireMock;
-    private RestClientOllamaClient client;
-
-    @BeforeEach
-    void setUp() {
-        wireMock = new WireMockServer(WireMockConfiguration.wireMockConfig().dynamicPort());
-        wireMock.start();
-
-        OllamaProperties props = new OllamaProperties();
-        props.setBaseUrl("http://localhost:" + wireMock.port());
-        props.setModel("qwen2.5:7b-instruct-q4_K_M");
-        props.setTimeoutSeconds(5);
-        props.setHealthCheckTimeoutSeconds(2);
-
-        client = new RestClientOllamaClient(props);
-    }
-
-    @AfterEach
-    void tearDown() {
-        wireMock.stop();
-    }
-
-    // --- Factory helpers ---
-
-    private String makeOllamaResponseJson(String personNamesJson, String personRole,
-                                           String dateFrom, String dateTo, String keywordsJson) {
-        String inner = String.format(
-                "{\"personNames\":%s,\"personRole\":\"%s\",\"dateFrom\":%s,\"dateTo\":%s,\"keywords\":%s}",
-                personNamesJson, personRole,
-                dateFrom == null ? "null" : "\"" + dateFrom + "\"",
-                dateTo == null ? "null" : "\"" + dateTo + "\"",
-                keywordsJson
-        );
-        return String.format("{\"model\":\"qwen2.5:7b-instruct-q4_K_M\",\"response\":\"%s\",\"done\":true}",
-                inner.replace("\"", "\\\""));
-    }
-
-    // --- Test cases ---
-
-    @Test
-    void parse_returnsExtraction_whenOllamaReturnsValidJson() {
-        String body = makeOllamaResponseJson("[\"Walter\"]", "sender", "1914-01-01", "1914-12-31", "[\"Krieg\"]");
-        wireMock.stubFor(post(urlEqualTo("/api/generate"))
-                .willReturn(aResponse()
-                        .withStatus(200)
-                        .withHeader("Content-Type", "application/json")
-                        .withBody(body)));
-
-        OllamaExtraction result = client.parse("Was hat Walter im Krieg geschrieben?");
-
-        assertThat(result.personNames()).containsExactly("Walter");
-        assertThat(result.personRole()).isEqualTo("sender");
-        assertThat(result.keywords()).containsExactly("Krieg");
-        assertThat(result.dateFrom()).isNotNull();
-        assertThat(result.dateTo()).isNotNull();
-    }
-
-    @Test
-    void parse_throwsSmartSearchUnavailable_whenOllamaReturns500() {
-        wireMock.stubFor(post(urlEqualTo("/api/generate"))
-                .willReturn(aResponse().withStatus(500)));
-
-        assertThatThrownBy(() -> client.parse("some query"))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.SMART_SEARCH_UNAVAILABLE);
-    }
-
-    @Test
-    void parse_throwsSmartSearchUnavailable_whenOllamaExceedsTimeout() {
-        wireMock.stubFor(post(urlEqualTo("/api/generate"))
-                .willReturn(aResponse()
-                        .withStatus(200)
-                        .withHeader("Content-Type", "application/json")
-                        .withFixedDelay(6000)
-                        .withBody("{\"response\":\"{}\",\"done\":true}")));
-
-        assertThatThrownBy(() -> client.parse("some query"))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.SMART_SEARCH_UNAVAILABLE);
-    }
-
-    @Test
-    void parse_throwsSmartSearchUnavailable_whenOllamaReturnsMalformedJson() {
-        wireMock.stubFor(post(urlEqualTo("/api/generate"))
-                .willReturn(aResponse()
-                        .withStatus(200)
-                        .withHeader("Content-Type", "application/json")
-                        .withBody("{\"response\":\"not-json-at-all\",\"done\":true}")));
-
-        assertThatThrownBy(() -> client.parse("some query"))
-                .isInstanceOf(DomainException.class)
-                .extracting(e -> ((DomainException) e).getCode())
-                .isEqualTo(ErrorCode.SMART_SEARCH_UNAVAILABLE);
-    }
-}

backend/src/test/java/org/raddatz/familienarchiv/tag/TagServiceTest.java

@@ -666,4 +666,17 @@ class TagServiceTest {
         // verify findAllById was called at least twice: once for extras, once inside resolveEffectiveColors
         verify(tagRepository, atLeastOnce()).findAllById(any());
     }
+
+    // ─── findByNameContaining ─────────────────────────────────────────────────
+
+    @Test
+    void findByNameContaining_delegatesToRepository() {
+        Tag krieg = Tag.builder().id(UUID.randomUUID()).name("Krieg").build();
+        when(tagRepository.findByNameContainingIgnoreCase("krieg")).thenReturn(List.of(krieg));
+
+        List<Tag> result = tagService.findByNameContaining("krieg");
+
+        assertThat(result).containsExactly(krieg);
+        verify(tagRepository).findByNameContainingIgnoreCase("krieg");
+    }
 }

docker-compose.yml

@@ -141,65 +141,6 @@ services:
     security_opt:
       - no-new-privileges:true
 
-  # --- Ollama: Model init (one-shot pull) ---
-  # Pulls qwen2.5:7b-instruct-q4_K_M (~4.7 GB) into the ollama_models volume on first start.
-  # On subsequent starts (model already in volume), exits quickly without re-downloading.
-  # Not started in CI — CI uses explicit service selection
-  # (docker-compose.ci.yml: db minio create-buckets)
-  ollama-model-init:
-    image: ollama/ollama:0.30.6
-    restart: "no"
-    networks:
-      - archiv-net
-    volumes:
-      - ollama_models:/root/.ollama
-    mem_limit: 2g
-    read_only: true
-    tmpfs:
-      - /tmp:size=512m
-    cap_drop:
-      - ALL
-    security_opt:
-      - no-new-privileges:true
-    command: >
-      sh -c "ollama serve & SERVE_PID=$$! && until curl -sf http://localhost:11434/api/tags; do sleep 1; done && ollama pull qwen2.5:7b-instruct-q4_K_M && kill $$SERVE_PID"
-
-  # --- Ollama: LLM inference server ---
-  # Serves the pre-pulled model for NL search inference.
-  # Not started in CI — CI uses explicit service selection
-  # (docker-compose.ci.yml: db minio create-buckets)
-  ollama:
-    image: ollama/ollama:0.30.6
-    container_name: archive-ollama
-    restart: unless-stopped
-    expose:
-      - "11434"
-    networks:
-      - archiv-net
-    volumes:
-      - ollama_models:/root/.ollama
-    environment:
-      OLLAMA_API_KEY: "${OLLAMA_API_KEY}"
-    cpus: "${OLLAMA_CPU_LIMIT:-4.0}"
-    mem_limit: "${OLLAMA_MEM_LIMIT:-8g}"
-    memswap_limit: "${OLLAMA_MEM_LIMIT:-8g}"
-    read_only: true
-    tmpfs:
-      - /tmp:size=512m
-    cap_drop:
-      - ALL
-    security_opt:
-      - no-new-privileges:true
-    healthcheck:
-      test: ["CMD", "curl", "-f", "http://localhost:11434/api/tags"]
-      interval: 30s
-      timeout: 10s
-      retries: 5
-      start_period: 60s  # model weights are pre-loaded by ollama-model-init; service only needs to bind port
-    depends_on:
-      ollama-model-init:
-        condition: service_completed_successfully
-
   # --- Backend: Spring Boot ---
   backend:
     build:
@@ -243,8 +184,6 @@ services:
       SPRING_MAIL_PROPERTIES_MAIL_SMTP_STARTTLS_ENABLE: ${MAIL_STARTTLS_ENABLE:-false}
       APP_OCR_BASE_URL: http://ocr-service:8000
       APP_OCR_TRAINING_TOKEN: "${OCR_TRAINING_TOKEN:-}"
-      APP_OLLAMA_BASE_URL: "${APP_OLLAMA_BASE_URL:-http://ollama:11434}"
-      APP_OLLAMA_API_KEY: "${OLLAMA_API_KEY}"
       SENTRY_DSN: ${SENTRY_DSN:-}
       SENTRY_TRACES_SAMPLE_RATE: ${SENTRY_TRACES_SAMPLE_RATE:-1.0}
       # Observability: send traces to Tempo inside archiv-net (OTLP gRPC port 4317)
@@ -308,4 +247,3 @@ volumes:
   frontend_node_modules:
   ocr_models:
   ocr_cache:
-  ollama_models:

docs/DEPLOYMENT.md

@@ -50,17 +50,15 @@ graph TD
 
 The OCR service requires significant RAM for model loading. The dev compose sets `mem_limit: 12g`.
 
-| Production target | RAM | Recommended OCR limit | NL Search | Notes |
-|---|---|---|---|---|
-| Current server (Hetzner Serverbörse, i7-6700) | 64 GB | 12 GB | Supported | Default `mem_limit: 12g` works comfortably; plenty of headroom for Ollama |
-| ≥ 16 GB RAM | 16+ GB | 12 GB | Supported | Default works |
-| 8 GB RAM | 8 GB | 6 GB | Disabled — set `APP_OLLAMA_BASE_URL=` (empty) | Set `OCR_MEM_LIMIT=6g`; accept reduced batch sizes |
-| 4 GB RAM | 4 GB | — | Unsupported | Disable OCR service (`profiles: [ocr]`); run OCR on demand only |
+| Production target | RAM | Recommended OCR limit | Notes |
+|---|---|---|---|
+| Current server (Hetzner Serverbörse, i7-6700) | 64 GB | 12 GB | Default `mem_limit: 12g` works comfortably |
+| ≥ 16 GB RAM | 16+ GB | 12 GB | Default works |
+| 8 GB RAM | 8 GB | 6 GB | Set `OCR_MEM_LIMIT=6g`; accept reduced batch sizes |
+| 4 GB RAM | 4 GB | — | Disable OCR service (`profiles: [ocr]`); run OCR on demand only |
 
 On servers with less than 16 GB RAM the default `mem_limit: 12g` cannot be honoured — set the `OCR_MEM_LIMIT` env var (in `.env.production` / `.env.staging`, or as a Gitea secret consumed by the workflow). The prod compose interpolates this var with a 12g default.
 
-> **Memory budget:** OCR (~6 GB active) + Ollama (~8 GB) = ~14 GB. On servers with less than 16 GB RAM, do not run `docker-compose.observability.yml` continuously alongside both OCR and Ollama.
-
 ### Dev vs production differences
 
 | Concern | Dev (`docker-compose.yml`) | Prod (`docker-compose.prod.yml`) |
@@ -147,16 +145,6 @@ All vars are set in `.env` at the repo root (copy from `.env.example`). The back
 | `XDG_CACHE_HOME` | XDG cache base dir — redirects Matplotlib and other XDG-aware libraries away from the read-only `HOME` (`/home/ocr`) to the writable cache volume | `/app/cache` | — | — |
 | `TORCH_HOME` | PyTorch model cache — redirects `~/.cache/torch` to the writable models volume | `/app/models/torch` | — | — |
 
-### Ollama (NL search) service
-
-| Variable | Purpose | Default | Required? | Sensitive? |
-|---|---|---|---|---|
-| `APP_OLLAMA_BASE_URL` | Base URL for the Ollama service. Leave empty to disable NL search. | `http://ollama:11434` | — | — |
-| `APP_OLLAMA_API_KEY` | API key passed as `Authorization: Bearer` to Ollama. Leave empty for unauthenticated access. Note: `OLLAMA_API_KEY` is not enforced in Ollama 0.6.5 or 0.30.6 (see ADR-028). | — | — | YES |
-| `OLLAMA_CPU_LIMIT` | Docker CPU quota for the Ollama container. On CX42 (8 vCPUs) can be raised to `7.5`. | `4.0` | — | — |
-| `OLLAMA_MEM_LIMIT` | Memory limit for the Ollama container. Requires CX42 (16 GB RAM). | `8g` | — | — |
-| `OLLAMA_API_KEY` | API key set on the Ollama service itself. Same value as `APP_OLLAMA_API_KEY`. Leave empty for unauthenticated. | — | — | YES |
-
 ### Observability stack (`docker-compose.observability.yml`)
 
 | Variable | Purpose | Default | Required? | Sensitive? |
@@ -277,18 +265,6 @@ git.raddatz.cloud      A   <server IP>
 
 ### 3.4 First deploy
 
-> **First start — Ollama model pull:** On first `docker compose up -d`, the `ollama-model-init` container pulls `qwen2.5:7b-instruct-q4_K_M` (~4.7 GB). At 10 Mbps this takes approximately 60–90 minutes; at 100 Mbps approximately 6–10 minutes. The pull is a one-time operation — subsequent restarts skip it (model already on the `ollama_models` volume). Monitor progress with `docker logs -f $(docker ps -q --filter name=ollama-model-init)`.
->
-> **Do not use `--wait` on first deploy** — `docker compose up -d --wait` waits for all services to reach their health/completion target, including `ollama-model-init`. On first pull this blocks for 60–90 minutes and will time out any CI/deploy script that uses `--wait`.
->
-> **Re-deploy idempotency:** on subsequent `docker compose up -d` runs (including `--force-recreate`), `ollama-model-init` re-executes but exits in seconds — Ollama's CLI skips the download when the model digest already matches what is on the volume.
->
-> **Verify NL search is active** after enabling Ollama (`APP_OLLAMA_BASE_URL=http://ollama:11434`):
-> ```bash
-> curl -s http://localhost:8080/api/nl-search?q=brief+von+grossmutter
-> # Returns 200 with results → NL search is active
-> # Returns 503 NL_SEARCH_UNAVAILABLE → Ollama is not reachable or APP_OLLAMA_BASE_URL is unset
-> ```
 
 ```bash
 # 1. Trigger nightly.yml manually (Repo → Actions → nightly → "Run workflow")
@@ -585,55 +561,6 @@ bash scripts/download-kraken-models.sh
 
 > Downloads the Kurrent/Sütterlin HTR models. Run once after a fresh clone or when models are updated.
 
-### Ollama — natural-language search (NL Search)
-
-NL search uses a local Ollama instance for query parsing. The `ollama` service is defined in `docker-compose.yml` alongside the main stack.
-
-**First-time model pull** (required before the feature works):
-
-```bash
-docker compose exec ollama ollama pull qwen2.5:7b-instruct-q4_K_M
-```
-
-This downloads ~4.4 GB. The model is stored in the `ollama_data` Docker volume and persists across container restarts.
-
-**Verify the model is available:**
-
-```bash
-docker compose exec ollama ollama list
-```
-
-Expected output includes `qwen2.5:7b-instruct-q4_K_M`.
-
-**Health check** — the backend polls `GET /api/tags` on Ollama at startup and before inference. If Ollama is absent, `POST /api/search/nl` returns HTTP 503 with `SMART_SEARCH_UNAVAILABLE`.
-
-**Configuration** (see `application.yaml` under `app.ollama`):
-
-| Property | Default | Description |
-|---|---|---|
-| `app.ollama.base-url` | `http://ollama:11434` | Ollama service URL (dev: `http://localhost:11434`) |
-| `app.ollama.model` | `qwen2.5:7b-instruct-q4_K_M` | Model to use for inference |
-| `app.ollama.timeout-seconds` | `30` | Read timeout for inference calls |
-| `app.nl-search.rate-limit.max-requests-per-minute` | `5` | Per-user rate limit |
-
-### Upgrade the Ollama model
-
-To switch to a newer model version (e.g. a future release of `qwen2.5`):
-
-1. Update the model name in the `ollama-model-init` `command:` in `docker-compose.yml`.
-2. Remove the existing model volume to free the old weights:
-   ```bash
-   docker volume rm familienarchiv_ollama_models
-   ```
-   (In production the volume name is prefixed with the compose project: `archiv-production_ollama_models`.)
-3. Restart the stack:
-   ```bash
-   docker compose up -d
-   ```
-   The `ollama-model-init` container pulls the new model weights on first start (~4–8 GB download depending on the model). The `ollama` inference server will not start until the pull completes (`condition: service_completed_successfully`).
-
-> **`ollama_models` volume:** holds model weights only — fully reproducible by re-pull, no backup needed.
-
 ### Trigger a canonical import
 
 The importer no longer parses the raw spreadsheet. It consumes the **canonical artifacts**

docs/GLOSSARY.md

@@ -165,15 +165,7 @@ _See also [Chronik](#chronik-internal)._
 
 **Domain** — a Tier-1 bounded context with its own entities, controller, service, repository, and DTOs. Backend domains: `document`, `person`, `tag`, `user`, `geschichte`, `notification`, `ocr`, `audit`, `dashboard`. Frontend domains mirror this structure under `src/lib/`.
 
----
-
-## NL Search Terms
-
-**NlSearch** — the natural-language document search feature. Users type a plain-German query (e.g. "Was hat Walter im Krieg an Emma geschrieben?"); the backend parses it via Ollama, resolves person names to database UUIDs, and delegates to the standard `DocumentService.searchDocuments()` path. Endpoint: `POST /api/search/nl`.
-
-**NlQueryInterpretation** — the structured result of parsing a natural-language query. Contains: `resolvedPersons` (persons whose names unambiguously matched one DB record), `ambiguousPersons` (all candidates when a name matched more than one person), `keywords` (LLM-extracted search terms), `dateFrom`/`dateTo` (extracted date range), `rawQuery` (the original user input), and `keywordsApplied` (whether keyword FTS was used in the search).
-
-**PersonHint** — a lightweight `{id, displayName}` pair used in `NlQueryInterpretation` to describe a resolved or ambiguous person without exposing the full `Person` entity to the frontend.
+**NameMatches** — the Person-domain result of `PersonService.resolveByName(name)`: candidate persons split by name-match strength into `direct` and `partial`. A match is **direct** when every query token is a whole-token match (order-independent, alias/maiden-name aware) across all of a person's name components (`firstName`, `lastName`, `alias`, each `PersonNameAlias` first+last, `title`); a **partial** matched the substring fetch but is not direct (e.g. "Cram" → "Clara Cramer").
 
 ---
 

docs/adr/028-nl-search-ollama.md

@@ -1,65 +0,0 @@
-# ADR-028 — Natural language search is powered by Ollama (Qwen 2.5 7B), not a cloud API
-
-**Date:** 2026-06-06
-**Status:** Accepted
-**Issue:** #738 (NL search backend); part of epic #735
-**Milestone:** Archive Intelligence — NL Search
-
----
-
-## Context
-
-Family members write their search intent in plain German ("Was hat Walter im Krieg an Emma geschrieben?"), not in structured filter forms. Issue #735 defines NL search as a core product goal. Three delivery options were evaluated:
-
-**Option A — extend the OCR service.** The OCR Python microservice already runs on the same host. Adding LLM inference there avoids a new container. Rejected: the OCR service is a single-purpose, CPU-bound pipeline optimised for Kraken; bundling a 4.5 GB LLM weight into the same image would bloat it, complicate model lifecycle management, and create an unrelated failure domain (OOM on large OCR batches vs. LLM load time). ADR-001 was explicit about keeping OCR single-purpose.
-
-**Option B — call an external API (OpenAI, Anthropic, etc.).** Cloud inference is instant and requires no local hardware. Rejected: the archive contains real person names and private family correspondence from 1899–1950 — sending query content to a third party violates the project's data-residency principle (family data stays on the family server). Additionally, API cost and availability are outside the operator's control; the system must work air-gapped.
-
-**Option C — local Ollama service (chosen).** Ollama is a purpose-built LLM runtime with a simple REST API, model lifecycle management (`ollama pull`), and support for grammar-constrained JSON output. It runs entirely on the existing server (i7-6700, 64 GB RAM) with no cloud dependency.
-
-**Model selection:** Qwen 2.5 7B Q4_K_M (`qwen2.5:7b-instruct-q4_K_M`) was chosen over larger models because:
-- Quantised weight is ~4.5 GB — fits comfortably in 64 GB RAM alongside PostgreSQL and the JVM.
-- Instruction-tuned variant follows the structured JSON schema reliably without fine-tuning.
-- CPU-only inference at Q4_K_M takes 2–15 seconds per query, acceptable for a search that replaces a multi-step filter form.
-
-**Prompt injection mitigation:** The backend sends the raw user query to Ollama. To prevent the model from being prompted to return schema-breaking output, the API call uses Ollama's `format` parameter with a grammar-constrained JSON schema. Output length is further bounded by `maxLength` constraints in the schema (names ≤ 200 chars, keywords ≤ 100 chars). `NlQueryParserService` enforces these limits in code before any LLM-extracted fragment is passed to `PersonRepository.searchByName()` — defence in depth.
-
-**DB-blind name resolution:** The Ollama prompt stays small (the raw query only); person database records are never sent to the model. Name resolution happens as a cheap SQL query after the model returns. This keeps the prompt short, avoids data leakage, and means adding 1,000 new persons requires no prompt change.
-
-**Graceful degradation:** `RestClientOllamaClient.isHealthy()` is called inline before each inference request (calls `GET /api/tags` on a 2-second connect-timeout client). If Ollama is absent or times out, `NlQueryParserService` throws `DomainException` with `SMART_SEARCH_UNAVAILABLE` (HTTP 503). The regular structured search (`GET /api/documents/search`) is unaffected — it never calls Ollama.
-
-**Expected inference latency:** 2–15 seconds on the current CPU-only hardware. The frontend issue must show a persistent "Suche läuft…" indicator for the full duration (see `aria-live="polite"` requirement in issue #738 frontend notes). The backend timeout is 30 seconds (`app.ollama.timeout-seconds=30`) — chosen as a safe upper bound for Q4_K_M on the i7-6700 with a realistic 500-character query under modest concurrent load.
-
-**NL query logging policy:** Only metadata is logged — query length, resolved person count, latency in milliseconds. The raw query is never written to the log file. Rationale: queries contain real family names (PII); log files persist to disk and may be shipped to Loki. Structured metadata is sufficient for debugging latency regressions.
-
-**Prompt-amplification abuse:** A malicious user could submit a long or crafted query to cause slow Ollama inference, consuming CPU. Mitigated by `NlSearchRateLimiter` (5 requests per user per minute, Bucket4j + Caffeine) and by `@Size(max=500)` on the request body. The rate limiter is node-local; in multi-replica deployments the effective limit multiplies by replica count — acceptable at the current single-node deployment scale.
-
-**Ollama model pre-pull requirement:** The Docker image contains only the Ollama binary, not the model weights. The operator must run `ollama pull qwen2.5:7b-instruct-q4_K_M` (≈4.5 GB download, 10–30 minutes) before the backend starts inference. If skipped, every NL search request returns 503 until the pull completes. The deployment runbook in `docs/DEPLOYMENT.md` covers this explicitly.
-
-**Startup dependency:** The `backend` Compose service declares `depends_on: ollama: condition: service_healthy`. The Ollama healthcheck polls `GET http://localhost:11434/api/tags`; `start_period: 120s` provides margin for weight loading (20–60 s on SSD). Note: `service_healthy` confirms the API is responding, not that the model is downloaded — if the pull was skipped, inference still returns 404.
-
-**Multi-name resolution heuristic:** For 2-name queries (e.g. "Was hat Walter an Emma geschrieben?"), the first extracted name is treated as sender and the second as receiver. Per-name role annotation (e.g. `{name: "Walter", role: "sender"}`) was rejected because it would require a combinatorially complex Ollama schema and the most natural German phrasing strongly implies sender→receiver order. For single-name queries, a `personRole` field (`sender`/`receiver`/`any`) is returned.
-
-**`personRole: "any"` keyword limitation:** When `personRole` is `"any"` and the name resolves to exactly one person, `DocumentService.searchDocumentsByPersonId()` is called (OR semantics: person as sender or receiver). Keyword filtering is not applied on this path — only person identity and date range. `keywordsApplied = false` is returned in the response. Rationale: the JPQL for OR-semantics person queries has no text predicate; adding FTS would require a native query or a separate pass, adding complexity for a case that is already well-narrowed by person identity.
-
-**`search/` → `person/` + `document/` dependency direction:** `NlQueryParserService` calls `PersonService.findByDisplayNameContaining()` and `DocumentService.searchDocuments()` — both are legitimate cross-domain service calls, not repository leaks. The `search/` package has no JPA entities of its own and never accesses `PersonRepository` or `DocumentRepository` directly.
-
-## Decision
-
-**Introduce a new `search/` domain package** with a local Ollama integration via `RestClientOllamaClient`. The Ollama service runs as a separate Docker container, reachable only on the internal Docker network (`expose: ["11434"]`, not `ports:`). The backend calls Ollama's `/api/generate` endpoint with grammar-constrained JSON output. Name resolution and document search are performed by existing services after the model returns.
-
-Key component structure:
-- `OllamaClient` / `OllamaHealthClient` interfaces — mockable for tests, modelled on `OcrClient`/`OcrHealthClient`
-- `RestClientOllamaClient` — two `RestClient` instances (30 s inference, 2 s health-check)
-- `NlQueryParserService` — orchestrates Ollama → name resolution → document search
-- `NlSearchRateLimiter` — Bucket4j + Caffeine, 5 req/min per user
-- `NlSearchController` — `POST /api/search/nl`, `@RequirePermission(READ_ALL)`
-
-## Consequences
-
-- Family members can query in natural German without learning filter UI. Expected search satisfaction improvement for the 60+ age cohort (primary transcription audience) is significant.
-- NL search is unavailable when Ollama is down or the model pull is not complete. The regular search is unaffected. The 503 response includes a CTA directing users to the regular search.
-- Operator responsibility: run `ollama pull` on first deploy and after model updates. The backup runbook must exclude `ollama_models` volume (model weights are re-downloadable, not user data).
-- Inference takes 2–15 seconds. The frontend loading indicator is a hard requirement (see issue #738 frontend notes).
-- The rate limiter is node-local. At the current single-node deployment scale this is correct. If the service is ever scaled horizontally, the rate limiter must be moved to Redis (same caveat as `LoginRateLimiter`).
-- The `search/` package introduces a new cross-domain dependency direction (`search` → `person`, `search` → `document`). This is intentional and documented in `docs/architecture/c4/l3-backend-search.puml`.

docs/adr/028-ollama-docker-compose-service.md

@@ -1,239 +0,0 @@
-# ADR-028: Ollama Docker Compose service for NL search
-
-**Date:** 2026-06-06
-**Status:** Accepted
-**Deciders:** Marcel Raddatz
-**Relates to:** #737 (infrastructure), #735 (NL search epic)
-
----
-
-## Context
-
-Issue #735 introduces natural-language document search, requiring a local LLM to generate embeddings and/or run inference at query time. The family archive stores personal family history — data privacy is non-negotiable, so cloud-based inference APIs are excluded. The production target is a Hetzner CX42 (16 GB RAM, 8 vCPUs, CPU-only, ~32 EUR/month).
-
-Alternatives considered:
-
-| Option | Reason rejected |
-|---|---|
-| **llama.cpp** | No HTTP API out of the box; requires custom wrapper; higher ops burden |
-| **vLLM** | GPU-first; significant overhead on CPU-only hardware; overkill for this scale |
-| **Cloud APIs** (OpenAI, Gemini, etc.) | Vendor lock-in; per-token cost at scale; data leaves the server — unacceptable for a private family archive |
-| **Ollama** | Self-contained Docker image; built-in HTTP REST API; actively maintained; CPU-compatible; zero egress |
-
-**Decision:** run Ollama as a Docker Compose service alongside the existing stack.
-
----
-
-## Decisions
-
-### 1. Hardware minimums and CPU-only constraint
-
-All inference runs on CPU. The target is the Hetzner CX42 (16 GB RAM, 8 vCPUs).
-
-| Tier | RAM | NL search |
-|---|---|---|
-| CX42 | 16 GB | Supported — full stack including Ollama |
-| CX32 | 8 GB | Disabled — set `APP_OLLAMA_BASE_URL=` (empty) to skip Ollama entirely |
-| CX22 | 4 GB | Unsupported for NL search |
-
-### 2. Memory budget on CX42
-
-| Component | `mem_limit` | Typical active RSS |
-|---|---|---|
-| OCR service | 12g (hard ceiling) | ~6 GB |
-| Ollama | 8g | ~8 GB |
-| **Total** | | **~14 GB active** |
-
-`memswap_limit` on the Ollama service is set to `8g` (matching `mem_limit`) to prevent Linux from swapping model weights into swap under OCR memory pressure. Swapping model weights does not crash the container but silently degrades inference latency. This mirrors the pattern already applied to the OCR service.
-
-**Operational constraint:** do NOT run `docker-compose.observability.yml` continuously alongside both OCR and Ollama on a CX42. The observability stack adds ~2 GB, which leaves no headroom.
-
-### 3. Graceful-degradation contract
-
-`app.ollama.base-url` absent OR blank → Ollama bean NOT registered → NL search returns HTTP 503 with `ErrorCode: NL_SEARCH_UNAVAILABLE`.
-
-This single code path covers all unavailability scenarios: base-url unset, service unreachable, health check failed, and request timeout.
-
-#### Why not `@ConditionalOnProperty`
-
-`@ConditionalOnProperty` registers the bean when the property is present but blank (`APP_OLLAMA_BASE_URL=`). This produces a `RestClient` with an empty base URL that fails at runtime with an opaque error rather than a clean 503.
-
-#### Correct condition expression
-
-```java
-@ConditionalOnExpression("!'${app.ollama.base-url:}'.isBlank()")
-```
-
-When the property is absent, the placeholder resolves to `''`; `.isBlank()` returns `true`; negation makes the condition `false`; the bean is not registered. Same result for an explicit empty string (`APP_OLLAMA_BASE_URL=`).
-
-### 4. Backend configuration pattern
-
-Use a `@ConfigurationProperties` record, not separate `@Value` injections:
-
-```java
-@ConfigurationProperties("app.ollama")
-record OllamaProperties(String baseUrl, String apiKey) {}
-```
-
-`OllamaProperties` is registered unconditionally — it is a plain value holder with no side effects.
-
-`@ConditionalOnExpression` belongs **only** on `RestClientOllamaClient` (the bean that creates a live network client).
-
-**Deliberate divergence from the OCR pattern:** the OCR service uses `@Value`-with-default because OCR is always-on and `http://ocr-service:8000` is a safe default. Ollama is truly optional — a missing URL means "feature disabled", not "use this default server". There is no safe default Ollama URL.
-
-### 5. Optional<OllamaClient> injection
-
-The NL search service uses constructor injection with `Optional<OllamaClient>`:
-
-```java
-private final Optional<OllamaClient> ollamaClient;
-```
-
-When empty (bean not registered), the service method returns 503 immediately:
-
-```java
-var client = ollamaClient.orElseThrow(
-    () -> DomainException.internal(ErrorCode.NL_SEARCH_UNAVAILABLE, "Ollama not configured"));
-```
-
-Prefer this over `@Autowired(required = false)` with a null check — the null-check pattern is noisy when the service already uses `@RequiredArgsConstructor`.
-
-### 6. Empty API key guard
-
-`RestClientOllamaClient` omits the `Authorization` header entirely when `apiKey` is blank:
-
-```java
-if (!apiKey.isBlank()) {
-    request.header("Authorization", "Bearer " + apiKey);
-}
-```
-
-Sending `Authorization: Bearer ` (empty token) has undefined or potentially broken behavior depending on the Ollama version. This mirrors the `trainingToken` guard in `RestClientOcrClient.java:107`.
-
-### 7. OLLAMA_API_KEY behavior in Ollama 0.6.5 and 0.30.6
-
-**Empirically verified (2026-06-06) on both `0.6.5` and `0.30.6`:** `OLLAMA_API_KEY` does **not** enforce request authentication in either version.
-
-Test matrix run against `/api/tags`:
-
-| Configuration | No auth header | `Authorization: Bearer ` (empty) | `Authorization: Bearer wrongkey` | `Authorization: Bearer correctkey` |
-|---|---|---|---|---|
-| `OLLAMA_API_KEY=` (empty) | 200 | 200 | — | — |
-| `OLLAMA_API_KEY` unset | 200 | — | — | — |
-| `OLLAMA_API_KEY=testkey99` | 200 | 200 | 200 | 200 |
-
-**Finding:** The `OLLAMA_API_KEY` environment variable is not listed in Ollama's startup config dump and does not gate any HTTP request in either tested version. All configurations — empty string, fully unset, and a real key — accept all requests without authentication.
-
-**Practical implication:** `OLLAMA_API_KEY` provides no defense-in-depth in the tested versions. `archiv-net` network isolation is the only effective security control. The env var is retained in the Compose definition and `.env.example` for forward compatibility if Ollama enables enforcement in a future version, but operators must not rely on it for access control.
-
-**Backend guard still valid:** the `RestClientOllamaClient` code-level guard (omit `Authorization` header when `apiKey.isBlank()`) remains correct behavior regardless — it prevents a malformed `Authorization: Bearer ` header from being sent.
-
-### 8. read_only: true feasibility
-
-**Empirically verified (2026-06-06) on both `0.6.5` and `0.30.6`:** `read_only: true` works with Ollama. All three operations — `ollama serve`, `ollama pull qwen2.5:7b-instruct-q4_K_M`, and `ollama list` — succeeded with exit code 0 in both versions.
-
-Test run:
-```bash
-docker run --rm --read-only \
-  -v ollama_models:/root/.ollama \
-  --tmpfs /tmp \
-  --entrypoint sh ollama/ollama:0.30.6 \
-  -c "ollama serve & sleep 5 && ollama pull qwen2.5:7b-instruct-q4_K_M && ollama list"
-```
-
-**Note:** the entrypoint must be overridden to `sh` for the test command — the container's default entrypoint is `/bin/ollama` and does not accept `sh` as a subcommand. This is a Docker invocation detail; the Compose service definition uses the image's default entrypoint and `command:` override for the init container, which works correctly.
-
-**Result:** `read_only: true` and `tmpfs: - /tmp:size=512m` are applied to both `ollama` and `ollama-model-init`. The `ollama_models` volume handles all persistent writes; no other paths require write access during normal operation.
-
-### 9. Peak RSS of init container during pull
-
-**Empirically verified (2026-06-06):** Peak RSS during `qwen2.5:7b-instruct-q4_K_M` pull was **~108 MiB**.
-
-`docker stats` samples during the pull (15-second intervals):
-
-| Sample | MEM |
-|---|---|
-| 1 | 54.89 MiB |
-| 2 | 66.3 MiB |
-| 5 | 97.25 MiB |
-| 9 | **107.8 MiB** (peak) |
-
-`mem_limit: 2g` is adequate — the model weights stream directly to the named volume; RSS is dominated by the Ollama server process alone (~100 MB), not the model data. No bump to 4 GB needed.
-
-### 10. Init container pull mechanism
-
-The `ollama-model-init` container uses a curl-based readiness loop with captured PID:
-
-```sh
-ollama serve & SERVE_PID=$!
-until curl -sf http://localhost:11434/api/tags; do sleep 1; done
-ollama pull qwen2.5:7b-instruct-q4_K_M
-kill $SERVE_PID
-```
-
-`kill %1` (job-control syntax) is unreliable in non-interactive `sh -c` contexts. Capturing the PID via `SERVE_PID=$!` is reliable.
-
-The same endpoint (`/api/tags`) is used for both the init container readiness loop and the main service `healthcheck`.
-
-### 11. start_period: 60s rationale
-
-The model is pre-pulled by `ollama-model-init` before the main service starts (via `condition: service_completed_successfully`). At main service startup, Ollama only loads model weights from the named volume and binds port 11434.
-
-60 seconds is appropriate for this cold-start profile. 300 seconds was considered — that would be appropriate if the service pulled the model itself — but overstates actual startup time when the model is already present on the volume.
-
-### 12. Security threat model
-
-**Primary control:** `archiv-net` network isolation. Ollama has no externally exposed port (`expose:` only, not `ports:`). The Caddyfile must not route any path to the Ollama service.
-
-**Note on `OLLAMA_API_KEY`:** Per §7, `OLLAMA_API_KEY` is not enforced in Ollama 0.6.5 or 0.30.6 and provides no authentication barrier against a compromised backend container. `archiv-net` network isolation is the sole effective security control. The env var is retained for forward compatibility only — do not rely on it for access control.
-
-Both `ollama` and `ollama-model-init` receive the ADR-019 hardening baseline:
-
-```yaml
-cap_drop: [ALL]
-security_opt: [no-new-privileges:true]
-```
-
-### 13. CI exclusion strategy
-
-Docker Compose profiles are not used — they would add developer friction (requiring `--profile ...` for all local dev commands).
-
-CI uses explicit service selection in `docker-compose.ci.yml`:
-```bash
-docker compose -f docker-compose.ci.yml up -d db minio create-buckets
-```
-
-Ollama is simply not listed and is never started in CI. A YAML comment on the `ollama` service block documents this:
-
-```yaml
-# Not started in CI — CI uses explicit service selection
-# (docker-compose.ci.yml: db minio create-buckets)
-```
-
-### 14. ollama_models volume operational note
-
-The `ollama_models` named volume holds model weights only — fully reproducible by re-pull. No backup is needed.
-
-If the volume fills after a model upgrade:
-```bash
-docker volume rm ollama_models && docker compose up -d
-```
-The init container re-pulls the model on next startup.
-
----
-
-## Consequences
-
-### Positive
-
-- NL search runs entirely on-premises; no data leaves the server and no per-token cloud cost.
-- Graceful degradation is a first-class concern: smaller or budget-constrained instances can run the app without Ollama with a single env var change.
-- The init container pattern keeps model pull out of the critical startup path for the main service, giving accurate healthcheck timings.
-- `@ConditionalOnExpression` with a blank-check is more correct than `@ConditionalOnProperty` for optional features with no safe default URL.
-
-### Risks and operational implications
-
-- **Memory pressure:** OCR + Ollama together consume ~14 GB on a 16 GB host. Running the observability stack simultaneously risks OOM kills. Monitor with `docker stats`.
-- **CPU inference latency:** `qwen2.5:7b-instruct-q4_K_M` is chosen for CPU viability, but inference on 8 vCPUs will be noticeably slower than GPU-accelerated alternatives. This is acceptable for the family archive use case (low concurrency, not real-time).
-- All three empirical TBD items from the original issue spec were resolved — see §7 (OLLAMA_API_KEY not enforced), §8 (`read_only: true` works), §9 (peak RSS ~108 MiB).
-- Model upgrades require a `docker volume rm` to free old weights before pulling the replacement. Document this in runbook/DEPLOYMENT.md.

docs/adr/034-remove-nl-search.md

@@ -0,0 +1,53 @@
+# ADR-034 — Remove NL/smart-search (supersedes ADR-028 ×2, ADR-034-ollama, ADR-035)
+
+**Date:** 2026-06-07
+**Status:** Accepted
+**Issue:** #772
+**Supersedes:** ADR-028 (nl-search-ollama), ADR-028 (ollama-docker-compose-service), ADR-034 (ollama-production-deployment-and-keep-alive), ADR-035 (rule-based-nlp-service)
+
+---
+
+## Context
+
+The natural-language search feature ("KI-Suche" / smart search) allowed users to enter
+free-form queries like *"Was hat Walter an Emma im Krieg geschrieben?"* and have them
+interpreted by an LLM into structured filters (persons, tags, date range, keywords).
+
+The feature went through two major iterations:
+1. **Ollama integration** (ADR-028): an `ollama` Docker service running a local LLM
+   (llama3.2/gemma3) parsed queries via a JSON-mode prompt.
+2. **Rule-based NLP service** (ADR-035): after Ollama proved too slow and unreliable on
+   CPU-only hardware, a Python FastAPI microservice (`nlp-service`, port 8001) replaced
+   it with deterministic regex + spaCy parsing plus a lightweight LLM call.
+
+Both approaches shared the same fundamental problem: inference on the production server
+(Hetzner Serverbörse, no GPU, 64 GB RAM, i7-6700) was too slow to be useful, with
+typical query latencies of 10–30 seconds. Users got better and faster results from
+the existing keyword search with date/person/tag filters.
+
+## Decision
+
+**Remove the NL search feature entirely.** The Python `nlp-service` microservice, the
+Spring Boot `search/` package (`NlSearchController`, `NlQueryParserService`,
+`RestClientNlpClient`, `NlSearchRateLimiter`, and all supporting classes), the frontend
+NL search components (`SmartModeToggle`, `SmartSearchStatus`, `InterpretationChipRow`,
+`DisambiguationPicker`), the related Docker Compose services, Prometheus scrape job,
+Grafana dashboard, and all i18n keys are removed.
+
+The existing structured search (FTS keyword + person/tag/date/directional filters) is
+sufficient for the archive's current audience and search workload.
+
+## Consequences
+
+- **Capability removed:** users can no longer enter free-form natural-language queries.
+  They must use the structured filter bar (keyword text box + person/tag/date/directional
+  dropdowns). For documents where these filters are sufficient, there is no regression.
+- **Operational simplification:** the Docker Compose stack loses two services
+  (`nlp-service` and previously `ollama`/`ollama-model-init`). Memory budget on the
+  production host is freed. No external model weights need to be kept warm.
+- **Future reinstatement:** if a GPU-capable host becomes available, re-implementing
+  server-side LLM inference would be straightforward given the clean separation of the
+  `NlSearchController` entry point. However, this ADR deliberately avoids leaving dead
+  infrastructure or stub code in place — start clean if and when that becomes viable.
+- **No data or schema change:** only query/endpoint code and Docker services are removed.
+  The `documents`, `persons`, and `tags` tables and their FTS indexes are untouched.

docs/architecture/c4/l2-containers.puml

@@ -12,16 +12,13 @@ System_Boundary(archiv, "Familienarchiv (Docker Compose)") {
     Container(frontend, "Web Frontend", "SvelteKit / Node adapter / port 3000", "Server-side rendered UI. Handles auth session cookies, document search and viewer, transcription editor, annotation layer, family tree (Stammbaum), stories (Geschichten), activity feed (Chronik), enrichment workflow, and admin panel.")
     Container(backend, "API Backend", "Spring Boot 4 / Java 21 / Jetty / port 8080", "REST API. Implements document management, search, user auth, file upload/download, transcription, OCR orchestration, and SSE notifications. Trusts X-Forwarded-* headers from Caddy.")
     Container(ocr, "OCR Service", "Python FastAPI / port 8000", "Handwritten text recognition (HTR) and OCR microservice. Single-node by design — see ADR-001. Reachable only on the internal Docker network; no external port exposed.")
-    Container(ollama, "Ollama LLM Service", "ollama/ollama:0.30.6 / port 11434 (internal only)", "Local LLM inference server for NL search. Runs qwen2.5:7b-instruct-q4_K_M on CPU. Reachable only on the internal Docker network; no external port exposed. Disabled when APP_OLLAMA_BASE_URL is unset or blank.")
-    ' Named volume: ollama_models — model weights, fully reproducible, no backup needed
     ContainerDb(db, "Relational Database", "PostgreSQL 16", "Stores document metadata, persons, users, permission groups, tags, transcription blocks, audit log, and Spring Session data.")
     ContainerDb(storage, "Object Storage", "MinIO (S3-compatible)", "Stores the actual document files (PDFs, scans). Backend uses a bucket-scoped service account (archiv-app), not MinIO root.")
     Container(mc, "Bucket / Service-Account Init", "MinIO Client (mc)", "One-shot container on startup. Idempotent: creates the archive bucket, the archiv-app service account, and attaches the readwrite policy.")
-    Container(ollama, "Ollama", "Ollama / port 11434", "Local LLM inference server. Hosts qwen2.5:7b-instruct-q4_K_M for natural-language query parsing (NL Search). CPU-only; GPU not required.")
 }
 
 System_Boundary(observability, "Observability Stack (/opt/familienarchiv/docker-compose.observability.yml)") {
-    Container(prometheus, "Prometheus", "prom/prometheus:v3.4.0", "Scrapes metrics from backend (8081 /actuator/prometheus), OCR service (8000 /metrics), Ollama (11434 /metrics), node-exporter, and cAdvisor. Retention: 30 days.")
+    Container(prometheus, "Prometheus", "prom/prometheus:v3.4.0", "Scrapes metrics from backend (8081 /actuator/prometheus), OCR service (8000 /metrics), node-exporter, and cAdvisor. Retention: 30 days.")
     Container(node_exporter, "Node Exporter", "prom/node-exporter:v1.9.0", "Host-level CPU, memory, disk, and network metrics.")
     Container(cadvisor, "cAdvisor", "gcr.io/cadvisor/cadvisor:v0.52.1", "Per-container resource metrics.")
     Container(loki, "Loki", "grafana/loki:3.4.2", "Stores log streams from all containers.")
@@ -44,13 +41,11 @@ Rel(backend, ocr, "OCR job requests with presigned MinIO URL", "HTTP / REST / JS
 Rel(backend, mail, "Sends notification and password-reset emails (optional)", "SMTP")
 Rel(ocr, storage, "Fetches PDF via presigned URL", "HTTP / S3 presigned")
 Rel(mc, storage, "Bootstraps bucket + service account on startup", "MinIO Client CLI")
-Rel(backend, ollama, "NL query parsing (POST /api/generate)", "HTTP / REST / JSON")
 Rel(promtail, loki, "Pushes log streams", "HTTP/Loki push API")
 Rel(backend, tempo, "Sends distributed traces via OTLP", "HTTP / OTLP / port 4318 (archiv-net)")
 Rel(prometheus, backend, "Scrapes JVM + HTTP metrics", "HTTP 8081 /actuator/prometheus")
 Rel(prometheus, ocr, "Scrapes OCR + http_* metrics", "HTTP 8000 /metrics")
-Rel(backend, ollama, "NL search inference requests", "HTTP / REST / JSON")
-Rel(prometheus, ollama, "Scrapes LLM request metrics", "HTTP 11434 /metrics")
+
 Rel(grafana, prometheus, "Queries metrics", "HTTP 9090")
 Rel(grafana, loki, "Queries logs", "HTTP 3100")
 Rel(grafana, tempo, "Queries traces", "HTTP 3200")

docs/architecture/c4/l3-backend-3h-search.puml

@@ -1,33 +0,0 @@
-@startuml
-!include <C4/C4_Component>
-
-title Component Diagram: API Backend — NL Search
-
-Container(frontend, "Web Frontend", "SvelteKit")
-ContainerDb(db, "PostgreSQL", "PostgreSQL 16")
-Container(ollama, "Ollama", "ollama/ollama — port 11434 (internal only)")
-
-System_Boundary(backend, "API Backend (Spring Boot)") {
-    Component(nlCtrl, "NlSearchController", "Spring MVC — POST /api/search/nl", "REST entry point for natural language search. Enforces READ_ALL permission. Uses @AuthenticationPrincipal UserDetails to obtain the caller's email for rate limiting. Delegates to NlQueryParserService and returns NlSearchResponse.")
-    Component(rateLimiter, "NlSearchRateLimiter", "Spring Service", "Bucket4j + Caffeine LoadingCache keyed on user email. Allows 5 NL search requests per minute per user. Throws DomainException(SMART_SEARCH_RATE_LIMITED / HTTP 429) when the bucket is exhausted. Node-local — same caveat as LoginRateLimiter.")
-    Component(parserSvc, "NlQueryParserService", "Spring Service", "Orchestrates the full NL search pipeline: (1) validates query length, (2) calls OllamaClient.parse() to extract structured intent, (3) resolves each person name via PersonService.findByDisplayNameContaining(), (4) applies multi-name / personRole heuristics, (5) delegates to DocumentService.searchDocuments() or searchDocumentsByPersonId(). Returns NlSearchResponse. Never logs raw query content (PII).")
-    Component(ollamaClient, "RestClientOllamaClient", "Spring Service — implements OllamaClient + OllamaHealthClient", "HTTP client for the Ollama API. Uses two separate RestClient instances: inference client (30 s read timeout) and health-check client (2 s connect timeout). Calls POST /api/generate with grammar-constrained JSON schema (personNames, personRole, dateFrom, dateTo, keywords). isHealthy() polls GET /api/tags. Null-coalesces absent personNames/keywords to List.of(). Defaults unknown personRole to 'any' with a warning log. Maps timeout/5xx/parse errors to DomainException(SMART_SEARCH_UNAVAILABLE / HTTP 503).")
-    Component(ollamaProps, "OllamaProperties", "@ConfigurationProperties(\"app.ollama\")", "Config bean: baseUrl, model (qwen2.5:7b-instruct-q4_K_M), timeoutSeconds (default: 30), healthCheckTimeoutSeconds (default: 2).")
-    Component(rateLimitProps, "NlSearchRateLimitProperties", "@ConfigurationProperties(\"app.nl-search.rate-limit\")", "Config bean: maxRequestsPerMinute (default: 5).")
-}
-
-Component(personSvc, "PersonService", "Spring Service", "See diagram 3e. findByDisplayNameContaining(fragment) delegates to PersonRepository.searchByName() — covers first+last name, alias, and name aliases via LEFT JOIN.")
-Component(documentSvc, "DocumentService", "Spring Service", "See diagram 3b. searchDocuments() for keyword/sender/receiver/date queries. searchDocumentsByPersonId() for OR-semantics single-person queries (person as sender OR receiver, no keyword filter).")
-
-Rel(frontend, nlCtrl, "POST /api/search/nl with JSON query", "HTTP / JSON")
-Rel(nlCtrl, rateLimiter, "checkAndConsume(userEmail)")
-Rel(nlCtrl, parserSvc, "parse(query)")
-Rel(parserSvc, ollamaClient, "parse(rawQuery) — extracts intent", "HTTP / JSON")
-Rel(ollamaClient, ollama, "POST /api/generate (grammar-constrained JSON schema)", "HTTP / REST")
-Rel(ollamaClient, ollama, "GET /api/tags (health check)", "HTTP / REST")
-Rel(parserSvc, personSvc, "findByDisplayNameContaining(name) for each extracted name")
-Rel(parserSvc, documentSvc, "searchDocuments() or searchDocumentsByPersonId()")
-Rel(documentSvc, db, "JPA queries", "JDBC")
-Rel(personSvc, db, "JPA queries", "JDBC")
-
-@enduml

docs/architecture/c4/l3-frontend-3b-document-workflows.puml

@@ -10,6 +10,11 @@ System_Boundary(frontend, "Web Frontend (SvelteKit / SSR)") {
     Component(homePage, "/ (Home / Search)", "SvelteKit Route", "Loader: parses URL params (q, from, to, senderId, receiverId, tags), fetches /api/documents/search and /api/persons. Renders search form with full-text, date range, sender/receiver typeahead, and tag filters.")
     Component(docsListPageTs, "/documents/+page.ts", "SvelteKit Client Loader", "Client-side load gated by matchMedia('(min-width: 1024px)') and ?view query. Fetches /api/documents/density only on desktop (Tailwind lg breakpoint) and outside calendar view; degrades to empty buckets on network failure.")
     Component(timelineFilter, "TimelineDensityFilter.svelte", "Svelte Component", "Per-month density bars above the document list. Click selects a single month, emits onchange({from, to}) using YYYY-MM-DD boundaries. Hidden on mobile and tablet (below lg, 1024px) and in calendar view.")
+    Component(searchFilterBar, "SearchFilterBar.svelte", "Svelte Component", "Search/filter card on /documents. Hosts the keyword input, sort, advanced filters, and the smart-mode toggle. In smart mode submits the NL query on Enter via onSmartSearch instead of the live keyword search.")
+    Component(smartToggle, "search/SmartModeToggle.svelte", "Svelte Component", "Toggle pill (KI/Text) inside the search input. aria-pressed; switches between keyword and NL (smart) search modes.")
+    Component(chipRow, "search/InterpretationChipRow.svelte", "Svelte Component", "Renders NL interpretation chips (Absender / directional / Zeitraum / Stichwort). Removing a chip emits onRemoveChip; the page re-runs a keyword GET with the remaining params.")
+    Component(smartStatus, "search/SmartSearchStatus.svelte", "Svelte Component", "Full-area panels for NL search: loading (role=status), 503 SMART_SEARCH_UNAVAILABLE (with keyword fallback), 429 SMART_SEARCH_RATE_LIMITED.")
+    Component(disambig, "search/DisambiguationPicker.svelte", "Svelte Component", "Accessible single-select disclosure for ambiguous person names; selecting a candidate re-runs the search via GET.")
     Component(docDetail, "/documents/[id]", "SvelteKit Route", "Loader: GET /api/documents/{id}. Page: metadata panel, inline file viewer, transcription editor, annotation layer, and comment thread.")
     Component(docEdit, "/documents/[id]/edit", "SvelteKit Route", "Edit form with PersonTypeahead, TagInput, date/location fields. Form action: PUT /api/documents/{id}.")
     Component(docNew, "/documents/new", "SvelteKit Route", "Upload form for a new document. Loader: GET /api/persons. Form action: POST /api/documents with multipart file.")
@@ -25,6 +30,12 @@ Rel(user, homePage, "Searches and browses", "HTTPS / Browser")
 Rel(homePage, backend, "GET /api/documents/search, GET /api/persons", "HTTP / JSON")
 Rel(docsListPageTs, backend, "GET /api/documents/density (desktop only, ≥1024px)", "HTTP / JSON")
 Rel(homePage, timelineFilter, "Mounts above the result list")
+Rel(homePage, searchFilterBar, "Mounts the search/filter card")
+Rel(searchFilterBar, smartToggle, "Embeds the smart-mode toggle in the input")
+Rel(homePage, backend, "POST /api/search/nl (smart mode)", "HTTP / JSON")
+Rel(homePage, smartStatus, "Renders loading / 503 / 429 panels")
+Rel(homePage, chipRow, "Renders interpretation chips; handles chip removal")
+Rel(homePage, disambig, "Renders the picker when names are ambiguous")
 Rel(docsListPageTs, timelineFilter, "Provides density / minDate / maxDate props")
 Rel(docDetail, backend, "GET /api/documents/{id}, GET /api/documents/{id}/file", "HTTP / JSON + Binary")
 Rel(docEdit, backend, "PUT /api/documents/{id}", "HTTP / Multipart")

frontend/messages/de.json

@@ -22,9 +22,6 @@
 	"error_forbidden": "Sie haben keine Berechtigung für diese Aktion.",
 	"error_csrf_token_missing": "Sitzungsfehler. Bitte laden Sie die Seite neu.",
 	"error_too_many_login_attempts": "Zu viele Anmeldeversuche. Bitte versuchen Sie es später erneut.",
-	"error_smart_search_unavailable": "Die intelligente Suche ist momentan nicht verfügbar. Bitte nutzen Sie die normale Suche.",
-	"error_smart_search_rate_limited": "Sie haben die Suchfunktion zu häufig genutzt. Bitte warten Sie eine Minute.",
-	"smart_search_keywords_not_applied": "Schlüsselwörter konnten bei dieser Suche nicht berücksichtigt werden.",
 	"error_validation_error": "Die Eingabe ist ungültig.",
 	"error_internal_error": "Ein unerwarteter Fehler ist aufgetreten.",
 	"nav_documents": "Dokumente",

frontend/messages/en.json

@@ -22,9 +22,6 @@
 	"error_forbidden": "You do not have permission for this action.",
 	"error_csrf_token_missing": "Session error. Please reload the page.",
 	"error_too_many_login_attempts": "Too many login attempts. Please try again later.",
-	"error_smart_search_unavailable": "The smart search is currently unavailable. Please use the regular search.",
-	"error_smart_search_rate_limited": "You have used the search function too frequently. Please wait a minute.",
-	"smart_search_keywords_not_applied": "Keywords could not be applied to this search.",
 	"error_validation_error": "The input is invalid.",
 	"error_internal_error": "An unexpected error occurred.",
 	"nav_documents": "Documents",

frontend/messages/es.json

@@ -22,9 +22,6 @@
 	"error_forbidden": "No tiene permiso para realizar esta acción.",
 	"error_csrf_token_missing": "Error de sesión. Recargue la página.",
 	"error_too_many_login_attempts": "Demasiados intentos. Por favor, inténtelo más tarde.",
-	"error_smart_search_unavailable": "La búsqueda inteligente no está disponible en este momento. Por favor, usa la búsqueda normal.",
-	"error_smart_search_rate_limited": "Has utilizado la función de búsqueda demasiadas veces. Por favor, espera un minuto.",
-	"smart_search_keywords_not_applied": "Las palabras clave no pudieron aplicarse a esta búsqueda.",
 	"error_validation_error": "La entrada no es válida.",
 	"error_internal_error": "Se ha producido un error inesperado.",
 	"nav_documents": "Documentos",

frontend/src/lib/generated/api.ts

@@ -228,22 +228,6 @@ export interface paths {
         patch?: never;
         trace?: never;
     };
-    "/api/search/nl": {
-        parameters: {
-            query?: never;
-            header?: never;
-            path?: never;
-            cookie?: never;
-        };
-        get?: never;
-        put?: never;
-        post: operations["search"];
-        delete?: never;
-        options?: never;
-        head?: never;
-        patch?: never;
-        trace?: never;
-    };
     "/api/persons": {
         parameters: {
             query?: never;
@@ -1835,9 +1819,6 @@ export interface components {
             /** Format: uuid */
             targetId: string;
         };
-        NlSearchRequest: {
-            query: string;
-        };
         Pageable: {
             /** Format: int32 */
             page?: number;
@@ -1897,26 +1878,6 @@ export interface components {
             /** Format: int32 */
             length: number;
         };
-        NlQueryInterpretation: {
-            resolvedPersons: components["schemas"]["PersonHint"][];
-            ambiguousPersons: components["schemas"]["PersonHint"][];
-            /** Format: date */
-            dateFrom?: string;
-            /** Format: date */
-            dateTo?: string;
-            keywords: string[];
-            rawQuery: string;
-            keywordsApplied: boolean;
-        };
-        NlSearchResponse: {
-            result: components["schemas"]["DocumentSearchResult"];
-            interpretation: components["schemas"]["NlQueryInterpretation"];
-        };
-        PersonHint: {
-            /** Format: uuid */
-            id: string;
-            displayName: string;
-        };
         SearchMatchData: {
             transcriptionSnippet?: string;
             titleOffsets: components["schemas"]["MatchOffset"][];
@@ -3236,32 +3197,6 @@ export interface operations {
             };
         };
     };
-    search: {
-        parameters: {
-            query: {
-                pageable: components["schemas"]["Pageable"];
-            };
-            header?: never;
-            path?: never;
-            cookie?: never;
-        };
-        requestBody: {
-            content: {
-                "application/json": components["schemas"]["NlSearchRequest"];
-            };
-        };
-        responses: {
-            /** @description OK */
-            200: {
-                headers: {
-                    [name: string]: unknown;
-                };
-                content: {
-                    "*/*": components["schemas"]["NlSearchResponse"];
-                };
-            };
-        };
-    };
     getPersons: {
         parameters: {
             query?: {

frontend/src/lib/shared/errors.ts

@@ -53,8 +53,6 @@ export type ErrorCode =
 	| 'FORBIDDEN'
 	| 'CSRF_TOKEN_MISSING'
 	| 'TOO_MANY_LOGIN_ATTEMPTS'
-	| 'SMART_SEARCH_UNAVAILABLE'
-	| 'SMART_SEARCH_RATE_LIMITED'
 	| 'VALIDATION_ERROR'
 	| 'BATCH_TOO_LARGE'
 	| 'BULK_EDIT_TOO_MANY_IDS'
@@ -180,10 +178,6 @@ export function getErrorMessage(code: ErrorCode | string | undefined): string {
 			return m.error_csrf_token_missing();
 		case 'TOO_MANY_LOGIN_ATTEMPTS':
 			return m.error_too_many_login_attempts();
-		case 'SMART_SEARCH_UNAVAILABLE':
-			return m.error_smart_search_unavailable();
-		case 'SMART_SEARCH_RATE_LIMITED':
-			return m.error_smart_search_rate_limited();
 		case 'VALIDATION_ERROR':
 			return m.error_validation_error();
 		case 'BATCH_TOO_LARGE':

frontend/src/routes/SearchFilterBar.svelte

@@ -81,9 +81,9 @@ $effect(() => {
 				onblur={onblur}
 				aria-label={m.docs_search_placeholder()}
 				placeholder={m.docs_search_placeholder()}
-				class="block w-full border-line py-2.5 pr-10 pl-3 placeholder-ink-3 shadow-sm focus:outline-none focus-visible:ring-2 focus-visible:ring-focus-ring"
+				class="block w-full border-line py-2.5 pr-4 pl-10 placeholder-ink-3 shadow-sm focus:outline-none focus-visible:ring-2 focus-visible:ring-focus-ring"
 			/>
-			<div class="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-3">
+			<div class="pointer-events-none absolute inset-y-0 left-0 flex items-center pl-3">
 				{#if isLoading}
 					<svg
 						role="status"

frontend/src/routes/documents/+page.svelte

@@ -289,19 +289,19 @@ $effect(() => {
 			from={from}
 			to={to}
 			onchange={(event) => {
-				from = event.from;
-				to = event.to;
-				// Drag commits filter + zoom atomically (Graylog-style range selector).
-				// Single click and clear omit zoomFrom/zoomTo so existing zoom is preserved.
-				if ('zoomFrom' in event) {
-					triggerSearchWithZoom(event.zoomFrom ?? null, event.zoomTo ?? null);
-				} else {
-					triggerSearchKeepZoom();
-				}
-			}}
+					from = event.from;
+					to = event.to;
+					// Drag commits filter + zoom atomically (Graylog-style range selector).
+					// Single click and clear omit zoomFrom/zoomTo so existing zoom is preserved.
+					if ('zoomFrom' in event) {
+						triggerSearchWithZoom(event.zoomFrom ?? null, event.zoomTo ?? null);
+					} else {
+						triggerSearchKeepZoom();
+					}
+				}}
 			onzoomchange={(event) => {
-				triggerSearchWithZoom(event?.zoomFrom ?? null, event?.zoomTo ?? null);
-			}}
+					triggerSearchWithZoom(event?.zoomFrom ?? null, event?.zoomTo ?? null);
+				}}
 		/>
 	</div>
 

infra/observability/grafana/provisioning/dashboards/ollama.json

@@ -1,218 +0,0 @@
-{
-  "id": null,
-  "uid": "ollama-dashboard",
-  "title": "Ollama",
-  "description": "Ollama inference latency and request rate",
-  "version": 1,
-  "schemaVersion": 39,
-  "tags": ["ollama", "inference"],
-  "timezone": "browser",
-  "editable": true,
-  "fiscalYearStartMonth": 0,
-  "graphTooltip": 1,
-  "links": [],
-  "liveNow": false,
-  "refresh": "30s",
-  "time": {
-    "from": "now-1h",
-    "to": "now"
-  },
-  "timepicker": {},
-  "weekStart": "",
-  "annotations": {
-    "list": [
-      {
-        "builtIn": 1,
-        "datasource": { "type": "datasource", "uid": "grafana" },
-        "enable": true,
-        "hide": true,
-        "iconColor": "rgba(0, 211, 255, 1)",
-        "name": "Annotations & Alerts",
-        "type": "dashboard"
-      }
-    ]
-  },
-  "panels": [
-    {
-      "id": 1,
-      "type": "timeseries",
-      "title": "Inference Latency p50",
-      "description": "50th percentile of Ollama request duration over a 5-minute window",
-      "gridPos": { "h": 8, "w": 8, "x": 0, "y": 0 },
-      "datasource": { "type": "prometheus", "uid": "prometheus" },
-      "fieldConfig": {
-        "defaults": {
-          "color": { "mode": "palette-classic" },
-          "custom": {
-            "axisBorderShow": false,
-            "axisCenteredZero": false,
-            "axisColorMode": "text",
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": { "legend": false, "tooltip": false, "viz": false },
-            "insertNulls": false,
-            "lineInterpolation": "linear",
-            "lineWidth": 2,
-            "pointSize": 5,
-            "scaleDistribution": { "type": "linear" },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": { "group": "A", "mode": "none" },
-            "thresholdsStyle": { "mode": "off" }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              { "color": "green", "value": null },
-              { "color": "red", "value": 80 }
-            ]
-          },
-          "unit": "s"
-        },
-        "overrides": []
-      },
-      "options": {
-        "legend": { "calcs": ["mean", "max"], "displayMode": "list", "placement": "bottom", "showLegend": true },
-        "tooltip": { "mode": "single", "sort": "none" }
-      },
-      "targets": [
-        {
-          "datasource": { "type": "prometheus", "uid": "prometheus" },
-          "editorMode": "code",
-          "expr": "histogram_quantile(0.5, rate(ollama_request_duration_seconds_bucket[5m]))",
-          "instant": false,
-          "legendFormat": "p50",
-          "range": true,
-          "refId": "A"
-        }
-      ]
-    },
-    {
-      "id": 2,
-      "type": "timeseries",
-      "title": "Inference Latency p95",
-      "description": "95th percentile of Ollama request duration over a 5-minute window",
-      "gridPos": { "h": 8, "w": 8, "x": 8, "y": 0 },
-      "datasource": { "type": "prometheus", "uid": "prometheus" },
-      "fieldConfig": {
-        "defaults": {
-          "color": { "mode": "palette-classic" },
-          "custom": {
-            "axisBorderShow": false,
-            "axisCenteredZero": false,
-            "axisColorMode": "text",
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": { "legend": false, "tooltip": false, "viz": false },
-            "insertNulls": false,
-            "lineInterpolation": "linear",
-            "lineWidth": 2,
-            "pointSize": 5,
-            "scaleDistribution": { "type": "linear" },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": { "group": "A", "mode": "none" },
-            "thresholdsStyle": { "mode": "off" }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              { "color": "green", "value": null },
-              { "color": "red", "value": 80 }
-            ]
-          },
-          "unit": "s"
-        },
-        "overrides": []
-      },
-      "options": {
-        "legend": { "calcs": ["mean", "max"], "displayMode": "list", "placement": "bottom", "showLegend": true },
-        "tooltip": { "mode": "single", "sort": "none" }
-      },
-      "targets": [
-        {
-          "datasource": { "type": "prometheus", "uid": "prometheus" },
-          "editorMode": "code",
-          "expr": "histogram_quantile(0.95, rate(ollama_request_duration_seconds_bucket[5m]))",
-          "instant": false,
-          "legendFormat": "p95",
-          "range": true,
-          "refId": "A"
-        }
-      ]
-    },
-    {
-      "id": 3,
-      "type": "timeseries",
-      "title": "Request Rate",
-      "description": "Ollama requests per second over a 5-minute window",
-      "gridPos": { "h": 8, "w": 8, "x": 16, "y": 0 },
-      "datasource": { "type": "prometheus", "uid": "prometheus" },
-      "fieldConfig": {
-        "defaults": {
-          "color": { "mode": "palette-classic" },
-          "custom": {
-            "axisBorderShow": false,
-            "axisCenteredZero": false,
-            "axisColorMode": "text",
-            "axisLabel": "",
-            "axisPlacement": "auto",
-            "barAlignment": 0,
-            "drawStyle": "line",
-            "fillOpacity": 10,
-            "gradientMode": "none",
-            "hideFrom": { "legend": false, "tooltip": false, "viz": false },
-            "insertNulls": false,
-            "lineInterpolation": "linear",
-            "lineWidth": 2,
-            "pointSize": 5,
-            "scaleDistribution": { "type": "linear" },
-            "showPoints": "auto",
-            "spanNulls": false,
-            "stacking": { "group": "A", "mode": "none" },
-            "thresholdsStyle": { "mode": "off" }
-          },
-          "mappings": [],
-          "thresholds": {
-            "mode": "absolute",
-            "steps": [
-              { "color": "green", "value": null },
-              { "color": "red", "value": 80 }
-            ]
-          },
-          "unit": "reqps"
-        },
-        "overrides": []
-      },
-      "options": {
-        "legend": { "calcs": ["mean", "max"], "displayMode": "list", "placement": "bottom", "showLegend": true },
-        "tooltip": { "mode": "single", "sort": "none" }
-      },
-      "targets": [
-        {
-          "datasource": { "type": "prometheus", "uid": "prometheus" },
-          "editorMode": "code",
-          "expr": "rate(ollama_requests_total[5m])",
-          "instant": false,
-          "legendFormat": "req/s",
-          "range": true,
-          "refId": "A"
-        }
-      ]
-    }
-  ],
-  "preload": false,
-  "templating": {
-    "list": []
-  }
-}

infra/observability/prometheus/prometheus.yml

@@ -22,8 +22,3 @@ scrape_configs:
     static_configs:
       - targets: ['ocr-service:8000']
 
-  - job_name: ollama
-    metrics_path: /metrics
-    static_configs:
-      # Uses the Docker service name for reliable DNS resolution.
-      - targets: ['ollama:11434']