Agentic RAG

  This system intelligently processes and interacts with PDF content, providing dynamic querying and contextual answers that adapt to user needs.

• Upload PDFs and Query: Easily upload multiple PDFs, then ask specific questions to receive accurate and contextually relevant responses.
• Context Awareness: Ensures user questions are within the context of the content, reducing irrelevant results.
• Export Answers: Save responses as PDF or text files for easy access and sharing.

Built using Python, PyTorch, and the SentenceTransformer model, with a user-friendly Django web interface.

For more details, features, and how to use it, explore the full project on GitHub: https://github.com/Adnaneessalmi/Agentic-RAG.