Knowledge RAG vs RAG-DuckDB
Side-by-side comparison of two Ai projects on AiList.
Tagline
Local knowledge retrieval system that combines semantic search with keyword-based routing for document analysis across security, development, and general knowledge domains using ChromaDB for vector storage and hybrid search through Reciprocal Rank Fusion.
Provides document processing and retrieval-augmented generation capabilities using DuckDB as the vector database backend, featuring intelligent chunking strategies that adapt to file types, hybrid search combining semantic similarity with BM25 keyword search, and support for over 20 file formats inc
GitHub Stars
80
7
Stars This Week
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Language
Python
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License
MIT
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Built With
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Views
55
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Clicks
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