Interaktiver 12-Fragen-Entscheidungsbaum für die AI Act Klassifikation
auf zwei Achsen: High-Risk (Anhang III, Q1-Q7) und GPAI (Art. 51-56, Q8-Q12).
Deterministische Auswertung ohne LLM.
Backend (Go):
- Neue Structs: GPAIClassification, DecisionTreeAnswer, DecisionTreeResult
- Decision Tree Engine mit BuildDecisionTreeDefinition() und EvaluateDecisionTree()
- Store-Methoden für CRUD der Ergebnisse
- API-Endpoints: GET/POST /decision-tree, GET/DELETE /decision-tree/results
- 12 Unit Tests (alle bestanden)
Frontend (Next.js):
- DecisionTreeWizard: Wizard-UI mit Ja/Nein-Fragen, Dual-Progress-Bar, Ergebnis-Ansicht
- AI Act Page refactored: Tabs (Übersicht | Entscheidungsbaum | Ergebnisse)
- Proxy-Route für decision-tree Endpoints
Migration 083: ai_act_decision_tree_results Tabelle
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Phase 1 (LLM Quality):
- Add format=json to all Ollama payloads (obligation_extractor, control_generator, citation_backfill)
- Add Chain-of-Thought analysis steps to Pass 0a/0b system prompts
Phase 2 (Retrieval Quality):
- Hybrid search via Qdrant Query API with RRF fusion + automatic text index (legal_rag.go)
- Fallback to dense-only search if Query API unavailable
- Cross-encoder re-ranking with BGE Reranker v2 (RERANK_ENABLED=false by default)
- CPU-only PyTorch dependency to keep Docker image small
Phase 3 (Data Layer):
- Cross-regulation dedup pass (threshold 0.95) links controls across regulations
- DedupResult.link_type field distinguishes dedup_merge vs cross_regulation
- Chunk size defaults updated 512/50 → 1024/128 for new ingestions only
- Existing collections and controls are NOT affected
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- LegalRAGClient: QDRANT_HOST+PORT → QDRANT_URL + QDRANT_API_KEY
- docker-compose: env vars updated for hosted Qdrant
- AllowedCollections: added bp_compliance_gdpr, bp_dsfa_templates, bp_dsfa_risks
- Migration scripts (bash + python) for data transfer
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
Part 1 — RAG Corpus Versioning:
- New DB table compliance_corpus_versions (migration 017)
- Go CorpusVersionStore with CRUD operations
- Assessment struct extended with corpus_version_id
- API endpoints: GET /rag/corpus-status, /rag/corpus-versions/:collection
- RAG routes (search, regulations) now registered in main.go
- Ingestion script registers corpus versions after each run
- Frontend staleness badge in SDK sidebar
Part 3 — Source Policy Backend:
- New FastAPI router with CRUD for allowed sources, PII rules,
operations matrix, audit trail, stats, and compliance report
- SQLAlchemy models for all source policy tables (migration 001)
- Frontend API base corrected from edu-search:8088/8089 to
backend-compliance:8002/api
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Switch LegalRAGClient from empty bp_legal_corpus to bp_compliance_ce
collection (3,734 chunks across 14 regulations)
- Replace embedding-service (384-dim MiniLM) with Ollama bge-m3 (1024-dim)
- Add standalone RAG search endpoint: POST /sdk/v1/rag/search
- Add regulations list endpoint: GET /sdk/v1/rag/regulations
- Add QDRANT_HOST/PORT env vars to docker-compose.yml
- Update regulation ID mapping to match actual Qdrant payload schema
- Update determineRelevantRegulations for CE corpus regulation IDs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
