Chat With PDFs

• Tech Stack: LangChain · Ollama · FAISS · Flask · Pickle · HuggingFaceBgeEmbeddings · mistral 7B · React.js · Axios · Socket.io-client · React-Markdown · react-code-blocks
• Project URL: Github Link
• Video URL: Youtube Video Link

Conversational PDF: Natural Language Interaction with Documents in Form of ChatBots

Conversational PDF is a web application that enables users to engage in natural language conversations with the information contained in PDF files. Leveraging the power of large language models and vector embeddings, it provides relevant and contextual responses based on the user's queries.It is RAG based Approach To make Custum Chatbots

Key Features:

• Load PDF Files: Process multiple PDF documents to query information from a collection.
• Natural Language Processing: Ask questions in natural language, and the application understands and processes the queries using advanced language models.
• Vector Embeddings: Represent the PDF content as dense vectors for efficient similarity search and retrieval of relevant information.
• Context-aware Responses: Provide responses based on the relevant context from the PDF files, ensuring accuracy and coherence.
• Direct Language Model Responses: Option to bypass vector embeddings and receive direct responses from the large language model for more open-ended queries.

Conversational PDF combines cutting-edge technologies like React.js, Flask, LangChain, Ollama, FAISS, and HuggingFace embeddings to create an innovative solution for accessing and understanding information from large PDF documents.