A generalized Retrieval-Augmented Generation (RAG) system with hybrid search capabilities that works with any documents you provide. Combines semantic (dense vector) search and keyword (sparse BM25) search for optimal document retrieval, with an MCP server API for easy integration.
Cross-referenced across 55 tracked directories
#52489
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
12/8/2025
Created
5
GitHub Stars
2
Forks
12/14/2025
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
b959a1af-c170-4c4c-ad27-457ed2959de8
Search a vast catalog of books on Anna's Archive. Discover editions, formats, and metadata to quickly pinpoint the right copy. Download selected titles for fast, offline access.
...more59b9f352-8cdc-44d3-9dd9-db3bfa521880
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planetabhi
A comprehensive local MCP server for Figma. Connect Figma with the Gemini CLI, Cursor, and Claude Desktop.