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 (5 months ago)

Commits 287 (last one 25 days ago)

Stargazers 9,287 (100 this week)

Watchers 120 (1 this week)

Forks 951

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RepositoryStats indexes 595,890 repositories, of these NirDiamant/RAG_Techniques is ranked #4,402 (99th percentile) for total stargazers, and #14,231 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #110/17,543.

NirDiamant/RAG_Techniques is also tagged with popular topics, for these it's ranked: python (#390/22322), ai (#110/4074), llm (#81/2911), langchain (#14/666), llms (#20/537), rag (#25/530), tutorials (#10/379)

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NirDiamant/RAG_Techniques has Github issues enabled, there is 1 open issue and 17 closed issues.

All Topics

ai llm rag llms opeani python langchain tutorials llama-index

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

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updated: 2024-12-21 @ 10:03am, id: 828268839 / R_kgDOMV5hJw