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

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.

natural-language-processing

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123 Stars

63 Forks

123 Watchers

Python Language

Cost to Build

$518.3K

Market Value

$1.45M

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Growth over time

1 data points · 2025-08-12 → 2025-08-12

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What is the mirabdullahyaser/Retrieval-Augmented-Generation-Engine-with-LangChain-and-Streamlit GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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