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RAG_Techniques

RAG_Techniques

Advanced techniques for Retrieval-Augmented Generation (RAG) systems.

Open Source🤖 AI & Machine Learning🛠️ Developer Tools
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About RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

✅ Pros

  • + Showcases cutting-edge RAG methods
  • + Open source and accessible
  • + Useful for AI and ML research

⚠️ Cons

  • - Requires technical expertise
  • - No dedicated website
  • - Limited to Jupyter Notebook environment

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Quick Info

Pricing
Free
License
NOASSERTION
GitHub Stars
25,516
Forks
2,990
Language
Jupyter Notebook
Platforms
self-hosted

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