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gibram
GibRAM is an in-memory knowledge graph server designed for retrieval augmented generation (RAG / GraphRAG) workflows.
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TeletextSignals
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SaaSHub
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libragen discussion
libragen reviews and mentions
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Ask HN: How are you doing RAG locally?
I made, and use this: https://github.com/libragen/libragen
It’s a CLI tool and MCP server for creating discrete, versioned “libraries” of RAG-able content.
Under the hood, it uses an embedding model locally. It chunks them content and stores embeddings in SQLite. The search functionality uses vector + keyword search + a re-ranking model.
You can also point it at any GitHub repo and it will create a RAG DB out of it.
You can also use the MCP server to create and query the libraries.
Site: https://www.libragen.dev/
Stats
libragen/libragen is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of libragen is TypeScript.