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This project enables users to interact with PDF documents through an innovative combination of Retrieval-Augmented Generation (RAG), Google Generative AI, and Hugging Face embeddings. With cutting-edge language models and text generation capabilities, this solution delivers contextually accurate responses to user queries about the uploaded PDFs.

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DataBird-Savvy/ChatWithPDF

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Chat with PDF

🚀 Chat with PDF is an interactive solution that allows users to have contextual conversations with PDF documents! This project utilizes Retrieval-Augmented Generation (RAG) with Google Generative AI and Hugging Face APIs to deliver accurate, context-aware responses based on the document's content.

Key Features:

  • Upload a PDF: Add your document for analysis.
  • Ask Questions: Inquire about the content of the PDF.
  • Contextual Answers: Receive precise answers powered by advanced AI models.

Technologies & APIs Used:

  • Google Generative AI: For enhanced text generation.
  • Hugging Face API: For embeddings and powerful language models.
  • Python: For backend logic and integration of APIs.

The combination of these powerful technologies allows users to interact with PDFs like never before. Stay tuned for more features and updates!

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This project enables users to interact with PDF documents through an innovative combination of Retrieval-Augmented Generation (RAG), Google Generative AI, and Hugging Face embeddings. With cutting-edge language models and text generation capabilities, this solution delivers contextually accurate responses to user queries about the uploaded PDFs.

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