The PDF Chatbot is a sophisticated conversational interface that leverages Retrieval-Augmented Generation (RAG) and LLaMA 3.1 to enable interactive discussions with multiple PDF documents. This application empowers users to ask questions and receive contextually relevant answers based on the content of uploaded PDFs. The chatbot facilitates seamless interactions, making information retrieval efficient and user-friendly. Also contain how to buikt a conversational chat bot using llama and lanchain memory
Multi-PDF Support: Interact with and query multiple PDF documents simultaneously, allowing for comprehensive information retrieval. Advanced Conversational AI: Utilizes LLaMA 3.1 to provide context-aware and coherent responses, enhancing user engagement. Intuitive Querying: Users can ask natural language questions about the content of the PDFs, receiving accurate answers based on the documents. Dynamic Context Retrieval: Employs Retrieval-Augmented Generation (RAG) to ensure that the responses are grounded in the content of the PDFs, improving relevance. User-Friendly Interface: Designed for ease of use, making it accessible to a wide range of users, from students to professionals.