mirabdullahyaser/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.
This tool helps you quickly understand and extract information from multiple PDF documents without reading them entirely. You upload your PDFs, and it lets you ask questions about their content and get instant answers, as if you're chatting with the documents themselves. Anyone who regularly needs to analyze large volumes of text, like researchers, legal professionals, or consultants, would find this very useful.
130 stars. No commits in the last 6 months.
Use this if you need to rapidly retrieve information, summarize key points, or have interactive conversations with the content across many PDF documents.
Not ideal if you only need to process a single, short document, or if you prefer manual, in-depth reading over AI-powered summarization and retrieval.
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130
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66
Language
Python
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Last pushed
Jul 04, 2024
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