Tag
This is a hands-on project for learning local RAG retrieval core from scratch, including Notebook and real runnable code. It covers the complete workflow: Markdown chunking, BM25, Embedding vector search, hybrid recall RRF, Cross-Encoder re-ranking, and comes with evaluation metrics.
A detailed technical query about building a local document RAG system covering storage, ingestion, query, and highlighting, seeking advice on vector databases, GraphRAG feasibility, and document highlighting implementations.
The author releases IaI-mcp, an open-source local daemon that provides persistent, tiered memory for Claude sessions by storing verbatim conversations and managing context retrieval without requiring manual prompts.