NirDiamant / 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.

Date Created 2024-07-13 (4 months ago)

Commits 281 (last one 9 days ago)

Stargazers 8,674 (173 this week)

Watchers 109 (2 this week)

Forks 893

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RepositoryStats indexes 584,353 repositories, of these NirDiamant/RAG_Techniques is ranked #4,751 (99th percentile) for total stargazers, and #16,243 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #111/17,098.

NirDiamant/RAG_Techniques is also tagged with popular topics, for these it's ranked: python (#402/22011), langchain (#12/633), llms (#20/506), rag (#25/486), tutorials (#10/372)

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All Topics

ai llm rag llms opeani python langchain tutorials llama-index

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281 commits on the default branch (main) since jan '22

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updated: 2024-11-20 @ 07:22pm, id: 828268839 / R_kgDOMV5hJw