Luca Sacchi Ricciardi 2aa1f66227 feat: implement AgenticRAG system with datapizza-ai ...

Major refactoring from NotebookLM API to Agentic Retrieval System:

## New Features
- AgenticRAG backend powered by datapizza-ai framework
- Web interface for document upload and chat
- REST API with Swagger/OpenAPI documentation
- Document processing pipeline (Docling, chunking, embedding)
- Qdrant vector store integration
- Multi-provider LLM support (OpenAI, Google, Anthropic)

## New Components
- src/agentic_rag/api/ - FastAPI REST API
  - Documents API (upload, list, delete)
  - Query API (RAG queries)
  - Chat API (conversational interface)
  - Swagger UI at /api/docs
- src/agentic_rag/services/
  - Document service with datapizza-ai pipeline
  - RAG service with retrieval + generation
  - Vector store service (Qdrant)
- static/index.html - Web UI (upload + chat)

## Dependencies
- datapizza-ai (core framework)
- datapizza-ai-clients-openai
- datapizza-ai-embedders-openai
- datapizza-ai-vectorstores-qdrant
- FastAPI, Pydantic, Qdrant

## API Endpoints
- POST /api/v1/documents - Upload documents
- GET /api/v1/documents - List documents
- POST /api/v1/query - Query knowledge base
- POST /api/v1/chat - Chat interface
- GET /api/docs - Swagger documentation
- GET / - Web UI

🏁 Ready for testing and deployment!

2026-04-06 10:56:43 +02:00

7.8 KiB

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