Advanced_RAG

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

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342 Stars

69 Forks

342 Watchers

Jupyter Notebook Language

Cost to Build

$15.4K

Market Value

$49.7K

How is this calculated?

Growth over time

1 data points · 2025-06-17 → 2025-06-17

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What is the NisaarAgharia/Advanced_RAG GitHub project? Description: "Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Advanced_RAG

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git clone https://github.com/NisaarAgharia/Advanced_RAG.git

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Download master.zip

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