2 Commits

Author	SHA1	Message	Date
Benjamin Admin	cd15ab0932	feat: Phase 3 — RAG-Anbindung fuer alle 18 Dokumenttypen + Vendor Contract Review ... Migrate queryRAG from klausur-service GET to bp-core-rag-service POST with multi-collection support. Each of the 18 ScopeDocumentType now gets a type-specific RAG collection and optimized search query instead of the generic fallback. Vendor-compliance contract review now uses LLM + RAG for real analysis with mock fallback on error. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-02 10:10:32 +01:00
Benjamin Admin	14a99322eb	feat: Phase 2 — RAG integration in Requirements + DSFA Draft ... Add legal context enrichment from Qdrant vector corpus to the two highest-priority modules (Requirements AI assistant and DSFA drafting engine). Go SDK: - Add SearchCollection() with collection override + whitelist validation - Refactor Search() to delegate to shared searchInternal() Python backend: - New ComplianceRAGClient proxying POST /sdk/v1/rag/search (error-tolerant) - AI assistant: enrich interpret_requirement() and suggest_controls() with RAG - Requirements API: add ?include_legal_context=true query parameter Admin (Next.js): - Extract shared queryRAG() utility from chat route - Inject RAG legal context into v1 and v2 draft pipelines Tests for all three layers (Go, Python, TypeScript shared utility). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-02 08:57:39 +01:00