Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit

natural-language-processing

Powerful web application that combines Streamlit, LangChain, and Pinecone to simplify document analysis. Powered by OpenAI's GPT-3, RAG enables dynamic, interactive document conversations, making it ideal for efficient document retrieval and summarization.

How to download and setup Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit

Open terminal and run command

git clone https://github.com/mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit.git

git clone is used to create a copy or clone of Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit https://github.com/mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit/archive/master.zip

Or simply clone Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit with SSH

[email protected]:mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit.git

If you have some problems with Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit

You may open issue on Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit support forum (system) here: https://github.com/mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit/issues

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