ankitghosal/RAG-Based-Knowledge-Augmentation-System
In this notebook, we build a Retrieval Augmented Generation (RAG) system using Llama 3, LangChain, and ChromaDB. The goal is to enable question-answering over external documents (not part of the model’s training data) without fine-tuning the Large Language Model (LLM).
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MIT
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Apr 10, 2026
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