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 (3 months ago)

Commits 279 (last one 6 days ago)

Stargazers 8,328 (58 this week)

Watchers 104 (0 this week)

Forks 844

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RepositoryStats indexes 579,238 repositories, of these NirDiamant/RAG_Techniques is ranked #4,964 (99th percentile) for total stargazers, and #17,067 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #115/16,882.

NirDiamant/RAG_Techniques is also tagged with popular topics, for these it's ranked: python (#426/21862), langchain (#12/629), llms (#20/492), rag (#24/470), tutorials (#10/371)

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rag llms opeani python langchain tutorials llama-index

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

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updated: 2024-11-07 @ 12:17am, id: 828268839 / R_kgDOMV5hJw