docs: remove nlp-service and NL search references from DEPLOYMENT.md and GLOSSARY.md
All checks were successful
CI / Unit & Component Tests (pull_request) Successful in 3m22s
CI / OCR Service Tests (pull_request) Successful in 23s
CI / Backend Unit Tests (pull_request) Successful in 3m52s
CI / fail2ban Regex (pull_request) Successful in 45s
CI / Semgrep Security Scan (pull_request) Successful in 23s
CI / Compose Bucket Idempotency (pull_request) Successful in 1m8s

This commit is contained in:
Marcel
2026-06-07 19:12:20 +02:00
parent 3ad1a69195
commit 02abb374cc
2 changed files with 7 additions and 72 deletions

View File

@@ -165,13 +165,6 @@ _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), `keywordsApplied` (whether keyword FTS was used), `resolvedTags` (tags matched by keyword→tag resolution), and `tagsApplied` (whether the OR-union tag filter was applied).
**keyword→tag resolution** — the post-Ollama step in `NlQueryParserService` where each LLM-extracted keyword is substring-matched against the tag taxonomy via `TagService.findByNameContaining()`. Keywords that hit one or more tags are removed from the FTS text list and become an OR-union tag filter; keywords with no match remain as FTS text. Matching is case-insensitive and traverses the tag hierarchy via the recursive CTE `findDescendantIdsByName`. See ADR-033.