NisaarAgharia / Advanced_RAG

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.

Date Created 2024-03-28 (7 months ago)

Commits 43 (last one 6 months ago)

Stargazers 240 (3 this week)

Watchers 3 (0 this week)

Forks 49

License unknown

Ranking

RepositoryStats indexes 584,353 repositories, of these NisaarAgharia/Advanced_RAG is ranked #156,823 (73rd percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #3,511/17,098.

NisaarAgharia/Advanced_RAG is also tagged with popular topics, for these it's ranked: machine-learning (#3,015/7926), ai (#1,337/3879), llm (#1,025/2726), chatgpt (#902/2514), nlp (#890/2400), openai (#733/2175), langchain (#193/633), rag (#203/486), agent (#211/426), agents (#106/231), llama3 (#64/153)

Other Information

NisaarAgharia/Advanced_RAG has Github issues enabled, there is 1 open issue and 0 closed issues.

All Topics

ai llm nlp rag agent genai agents llama3 openai chatgpt vectordb langchain machine-learning retrival-augmented

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

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The only known language in this repository is Jupyter Notebook

updated: 2024-11-20 @ 02:23pm, id: 778768633 / R_kgDOLmsQ-Q