HenryHengLUO/Retrieval-Augmented-Generation-Intro-Project
This project aims to introduce and demonstrate the practical applications of RAG using Python code in a Jupyter Notebook environment.
This project helps developers understand and implement Retrieval Augmented Generation (RAG) by walking them through practical applications. It takes custom documents and user queries as input, and outputs contextually relevant responses generated by a large language model. This is for developers interested in integrating RAG into their applications for enhanced information retrieval and text generation.
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Use this if you are a developer new to RAG and want to learn its fundamental concepts and see practical implementations using Python and Jupyter Notebooks.
Not ideal if you are an end-user looking for a ready-to-use RAG application without any coding or setup.
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Jupyter Notebook
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Last pushed
Jan 27, 2024
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