PDF ChatBot RAG

This application implements a powerful, interactive PDF chatbot using a modern Retrieval-Augmented Generation (RAG) pipeline built with LangChain, OpenAI, and deployed on Vercel. Here's how it works step by step: 1. Upload and Process 1:The interface welcomes users to upload a PDF—drag and drop or browse. 2:On upload, the system processes the PDF: -->It extracts content, potentially splitting it into smaller, manageable text chunks (a common RAG strategy) 2:The tool leverages LangChain, a toolkit to orchestrate language model workflows: 1:It loads the document content. 2: Breaks it into chunks. 3:Deployment & Architecture -->The app is hosted on Vercel, offering edge deployment and serverless execution. -->LangChain orchestrates the logic, from ingestion to retrieval to generation.