yudataguy/RawRAG
Let's RAG it RAW without fancy frameworks
This project helps Python developers build their own Retrieval-Augmented Generation (RAG) systems from scratch. It provides practical examples and code to understand the internal workings of RAG. Developers input raw text data or documents and configure retrieval and generation steps to produce tailored, context-aware responses from a language model.
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Use this if you are a Python developer who wants to build a RAG system and gain deep control and understanding over every component, without relying on high-level frameworks.
Not ideal if you need to quickly prototype a RAG system with minimal coding or prefer using established, feature-rich frameworks like LangChain or LlamaIndex.
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27
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 15, 2024
Commits (30d)
0
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