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RAG_Techniques

Jupyter Notebook

The repository offers techniques for Retrieval-Augmented Generation (RAG), which enhance the ability to generate informative and contextually relevant responses by combining information retrieval with natural language processing. It aims to improve the quality of generated content by ensuring it is backed by accurate and relevant data.

Categories & Topics

LLMInformation Retrievalconversational AIagentic-ragaiembeddingsgenerative-aigptlangchainllama-indexllmllmsmachine-learningnlpopenaipythonragretrieval-augmented-generationsemantic-searchtutorialsvector-database

Repository Stats

28k
GitHub Stars
3.5k
Forks
28k
Watchers
14
Open Issues
License
Other
Last Updated
Today
August 7, 2026
Latest Release
book-v1.0
3 months ago

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