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 (8 months ago)

Commits 329 (last one 20 days ago)

Stargazers 13,634 (163 this week)

Watchers 170 (1 this week)

Forks 1,405

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Ranking

RepositoryStats indexes 631,885 repositories, of these NirDiamant/RAG_Techniques is ranked #2,752 (99th percentile) for total stargazers, and #8,861 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #72/19,028.

NirDiamant/RAG_Techniques is also tagged with popular topics, for these it's ranked: python (#256/23400), ai (#91/4841), llm (#64/3552), langchain (#12/756), rag (#26/685), llms (#16/679), tutorials (#8/394)

Other Information

NirDiamant/RAG_Techniques has 3 open pull requests on Github, 50 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 21 closed issues.

All Topics

ai llm rag llms opeani python langchain tutorials llama-index

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

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updated: 2025-03-25 @ 01:55pm, id: 828268839 / R_kgDOMV5hJw