dimgigov
80c3fee9de
feat: 10.2.3 ChatMessageHistory + 10.2.4 RAG pipeline example
- clients/python/baradb/chat_history.py: BaraDBChatHistory class
- Stores conversation threads in BaraDB with multi-tenant RLS
- session_id + tenant_id + user_id isolation
- Auto-creates table and index
- Compatible with LangChain message format
- examples/rag_pipeline.py: End-to-end RAG pipeline example
- PDF/text ingestion -> chunking -> embedding -> BaraDB storage
- Hybrid search with vector distance
- LLM generation (OpenAI / Ollama)
- Supports --file and --query modes
- Configurable chunk size, overlap, top-k
- PLAN.md: Updated all Session 10 tasks as complete