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raggy: A lightweight CLI tool for RAG over your local documents (github.com)
submitted 3 days ago by to c/opensource@lemmy.ml
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https://github.com/paulknysh/raggy

Built with LangChain, Chroma, and Ollama. Hybrid database (vector + BM25 index) and embedding generation run fully locally. Answer generation can run either via a local LLM or remotely using an API key. raggy supports most common document formats and handles images/scans automatically via OCR.

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4
raggy: A lightweight CLI tool for RAG over your local documents (github.com)
submitted 3 days ago by to c/opensource@programming.dev
comment fedilink hide all child comments
 

https://github.com/paulknysh/raggy

Built with LangChain, Chroma, and Ollama. Hybrid database (vector + BM25 index) and embedding generation run fully locally. Answer generation can run either via a local LLM or remotely using an API key. raggy supports most common document formats and handles images/scans automatically via OCR.

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A lightweight CLI tool for RAG over your local documents (github.com)
submitted 2 days ago by to c/opensource@programming.dev
comment fedilink hide all child comments
 

https://github.com/paulknysh/raggy

A lightweight CLI tool for Retrieval-Augmented Generation (RAG) over local documents built with LangChain, Chroma, and Ollama. Hybrid database (vector + BM25 index) and embedding generation run fully locally. Answer generation can run either via a local LLM or remotely using an API key. raggy supports most common document formats and handles images/scans automatically via OCR.