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  1. Add this topic to your repo. To associate your repository with the pdf-chat-bot topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.

  2. Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included. - Anil-matcha...

  3. Pull requests. x0-GPT is an advanced AI-powered tool that enables you to interact seamlessly with any website or document (including PDFs) using natural language. Whether you're looking to extract specific data, automate tasks, or gain insights, x0-GPT makes it possible with ease. Best of all, it's free and accessible to everyone.

  4. Welcome to the PDF ChatBot project! This chatbot leverages the Mistral-7B-Instruct model and the LangChain framework to answer questions about the content of PDF files. By following this README, you'll learn how to set up and run the chatbot using Streamlit. Session State Initialization: The ...

  5. Input: RAG takes multiple pdf as input. VectoreStore: The pdf's are then converted to vectorstore using FAISS and all-MiniLM-L6-v2 Embeddings model from Hugging Face. Memory: Conversation buffer memory is used to maintain a track of previous conversation which are fed to the llm model along with the user query.

  6. NOTE: azure_chat_with_pdf_test does the same tests but using Azure AI as backend, so you can see all the runs in a nice web portal with all the logs and metrics comparison etc. Further reading: Learn how to experiment with the chat-with-pdf flow; Learn how to experiment with the chat-with-pdf flow on Azure so that you can collaborate with your ...

  7. Welcome to the "chatpdf-yt" project, a comprehensive chat application with PDF integration. This project is designed to provide a seamless chat experience where users can upload PDF files, create chats around them, and interact with an AI assistant. The AI assistant uses the OpenAI API to generate responses based on the chat context.

  8. For Stack Name, choose serverless-pdf-chat. For Frontend , specify the environment ("local", "amplify") for the frontend of the application. If you selected "amplify", specify the URL of the forked Git repository containing the application code.

  9. Features. PDF Upload: Users can easily upload PDF documents directly to the platform. Text Extraction: The application automatically extracts text from uploaded PDFs, making it accessible for further analysis. Question and Answer: Users can ask questions related to the content of the uploaded PDFs. The application utilizes the OpenAI API to ...

  10. Chat with PDF: The application processes the content of the PDF and allows users to engage in a conversation with the document using OpenAI API. PDF Preview : Users can preview the actual PDF document they are interacting with, using the powerful React component package, @react-pdf-viewer .

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