quarry vs RAG-DuckDB

Side-by-side comparison of two Ai projects on AiList.

Tagline
Locally hosted semantic search for AI agents. 20+ document formats, hybrid search, agent memory, zero cloud dependencies. MCP server + CLI.
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
7
7
Stars This Week
—
—
Language
—
—
License
—
—
Built With
—
—
Views
1
78
Clicks
0
5
Links

List Your Project

Join the directory Ai agents read. Free forever.

Submit Your Project