nsrinidhibhat / gradio_RAG

Code and resources showcasing the Retrieval-Augmented Generation (RAG) technique, a solution for enhancing data freshness in Large Language Models (LLMs). Incorporate up-to-date external knowledge into LLM-generated responses. Additionally, this repository includes a Gradio-based user interface for seamless model deployment.

Date Created 2023-08-20 (about a year ago)

Commits 5 (last one about a year ago)

Stargazers 39 (0 this week)

Watchers 1 (0 this week)

Forks 14

License unknown

Ranking

RepositoryStats indexes 564,918 repositories, of these nsrinidhibhat/gradio_RAG is ranked #503,644 (11th percentile) for total stargazers, and #521,156 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #96,879/111,200.

nsrinidhibhat/gradio_RAG is also tagged with popular topics, for these it's ranked: llm (#2,045/2458), generative-ai (#381/492), llama2 (#196/238), retrieval-augmented-generation (#127/152)

All Topics

llm faiss gradio llama2 falcon-7b generative-ai embedding-models retrieval-augmented-generation

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

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The only known language in this repository is Python

updated: 2024-09-21 @ 11:59pm, id: 680833393 / R_kgDOKJSxcQ