shinalok
0b50444e43
IDEA-2/1/5/7: 스마트 알림, 대화 기반 RAG, CRAG, 파라미터 자동 튜닝
...
- IDEA-2 스마트 알림: td_reminders 테이블, set_reminder/list_reminders 도구,
SchedulerService(asyncio 60초 루프, D-7/D-1/D-0 Telegram push),
FastAPI lifespan 연동, GET /reminders/{user_id} 엔드포인트
- IDEA-1 대화 기반 RAG: IngestionService.store_text() 추가,
AgentService._maybe_index_conversation() — 응답 후 LLM 판단 → Qdrant 저장
(CONV_RAG_ENABLED=true 활성화, background task로 응답 속도 무관)
- IDEA-5 CRAG: AgentState에 crag_fallback_used 플래그 추가,
crag_check LangGraph 노드 — search_documents 결과 없으면 web_search 자동 주입,
route_after_crag으로 fallback 1회 루프 제어 (CRAG_ENABLED=true 활성화)
- IDEA-7 RAG Auto-Eval: eval/auto_tune.py — API 서버 없이 파라미터 조합별
context_precision/recall 비교, 최적 설정 추천
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-06-04 10:04:05 +09:00
shinalok
86370f6c1e
Implement Phase 18: Hybrid Search (BM25 + Vector)
...
- FastEmbedSparse(Qdrant/bm25) 기반 sparse 임베딩 추가 (fastembed 패키지)
- IngestionService: HYBRID_SEARCH_ENABLED 시 dense + sparse 동시 저장 (RetrievalMode.HYBRID)
- _ensure_collection_schema(): sparse vector 미설정 컬렉션 자동 삭제·재생성
- RetrieverService: hybrid 스토어 + dense 폴백 구조, Qdrant 내장 RRF로 결과 통합
- container.py: sparse_embeddings Singleton 프로바이더, ingestion/retriever 양쪽 주입
- .env.example: HYBRID_SEARCH_ENABLED, SPARSE_MODEL_ID 항목 추가
활성화: .env에 HYBRID_SEARCH_ENABLED=true 설정 후 기존 문서 재수집 필요
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-29 17:47:17 +09:00
shinalok
145b0cc96f
Implement Phase 12 feedback, Phase 13 Semantic Chunker, Phase 13-B Reranker, Bug 5 thinking fix
...
- Phase 12: FeedbackRepository + td_feedback 테이블, Gradio 👍 /👎 이벤트, run_id 추적, LangSmith create_feedback() 연동
- Phase 13: 커스텀 _SemanticSplitter 제거 → langchain_experimental.SemanticChunker 교체, buffer_size/threshold_type 환경변수 적용
- Phase 13-B: RerankService (Cross-Encoder), RetrieverService.search()에 reranker 통합, tools.py as_retriever() → search() 전환
- Bug 5: mlx_chat_model enable_thinking 런타임 오버라이드, agent_service stream_mode=["messages","custom"] 이중 스트림, thinking 토큰 custom 이벤트로 emit
- ROADMAP: LLM 모델명 8B 반영, RAG에 Reranker 추가, 추천 진행 순서 갱신
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-29 17:41:36 +09:00
shinalok
06bcdb03ac
Implement Phase 4~14: LangGraph Agent, RAG pipeline, Gradio Web UI, voice interface
...
- Upgrade LLM to Qwen3-14B-4bit with Thinking mode (MlxChatModel as LangChain BaseChatModel)
- Add LangGraph ReAct agent with tool calling loop (search_documents, web_search, get_current_date, remember/recall_user_info)
- Add RAG pipeline: BAAI/bge-m3 embeddings + Qdrant vector store + semantic chunking (SemanticSplitter via cosine similarity)
- Replace fixed-size RecursiveCharacterTextSplitter with meaning-based SemanticSplitter (numpy only, no extra deps)
- Add Gradio Web UI (app.py): chat, document ingestion, document management tabs
- Add multi-user support (user_id isolation in DB + per-user agent cache + dropdown selector)
- Add conversation history restore from MySQL on agent init (Phase 11)
- Add UserProfileRepository for persistent user profile (remember/recall tools)
- Add thread-local DB connections to fix pymysql thread-safety with LangGraph ToolNode
- Add Phase 14 voice interface: Whisper STT (microphone → text) + macOS TTS (say -v Yuna)
- Enforce search_documents-first policy in system prompt and tool descriptions
- Update ROADMAP2.md: Phase 14 완료, Phase 13 청킹 부분 완료
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-05-27 14:06:22 +09:00
shinalok