KhaledYaish0/RAG_PROJECT

A lightweight Retrieval-Augmented Generation (RAG) demo that chunks documents, encodes them with sentence-transformers, indexes vectors with Faiss, and generates answers using BART. Designed to run locally with clear setup instructions.

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Experimental

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Maturity 9 / 25
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Language

Python

License

MIT

Last pushed

Sep 23, 2025

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