harshvardhan-11/ChatwithMultiplePDFs
The project is a Streamlit-based app that allows users to upload PDF files, processes the text into chunks, stores it in a FAISS vector store using Google Generative AI embeddings, and enables conversational Q&A with the documents using Google Generative AI’s chat model for answers.
This project helps anyone who needs to quickly find information and get answers from one or more PDF documents. You upload your PDFs, then ask questions about their content in a chat interface. The system processes the documents, finds relevant sections, and provides conversational answers based on the information within those PDFs. It's ideal for researchers, analysts, or students dealing with lengthy reports, manuals, or articles.
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Use this if you need to extract specific information or get summaries from large PDF documents without manually sifting through pages.
Not ideal if you need to edit PDFs, convert them to other formats, or perform complex data analysis beyond question-answering.
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Python
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Last pushed
Sep 22, 2024
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