tobocop2/lilbee
Local, offline experimental knowledge base. Index documents and code, search or ask questions â from the terminal or any AI agent. Built on Ollama + LanceDB + Kreuzberg + tree-sitter.
Supports hybrid RAG with semantic and BM25 search, exposing results via MCP server or JSON CLI for seamless agent integration. Features AST-aware code chunking via tree-sitter, multi-format ingestion (PDFs, Office docs, images with OCR), and per-project isolated indexes. Provides a REST API for embedding search into existing tools like Obsidian, plus interactive local chat without requiring external LLMs during retrieval.
Available on PyPI.
Stars
4
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Dependencies
11
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/tobocop2/lilbee"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
martin-papy/qdrant-loader
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple...
Davidyz/VectorCode
A code repository indexing tool to supercharge your LLM experience.
orneryd/NornicDB
NornicDB is a high-performance graph + vector database built for AI agents and knowledge...
p-funk/fegis
Define AI tools in YAML with natural language schemas. All tool usage is automatically stored in...
aaronsb/knowledge-graph-system
Kappa Graph â Îș(G). A semantic knowledge graph where knowledge has weight. Extracts concepts,...