Unitedstuff/Intro_to_Rag
This project demonstrates a simple implementation of a Retrieval-Augmented Generation (RAG) system using Python. It includes cosine similarity calculations to find the most relevant document from a corpus based on a user query and integrates with a local LLM (e.g., LLAMA2) for generating responses
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Apr 26, 2025
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