gpt4-pdf-chatbot-langchain
A customizable AI chatbot agent that ingests PDF documents, stores embeddings in a vector database, and answers user queries using LangChain and LangGraph.
What is gpt4-pdf-chatbot-langchain?
GPT4 PDF Chatbot LangChain is an open-source AI chatbot agent template designed to answer questions from PDF documents. It processes uploaded PDFs by extracting text, generating vector embeddings stored in a database like Supabase, and using LangChain and LangGraph to orchestrate retrieval and response generation with LLMs like OpenAI. It solves the problem of making static PDF content interactively queryable through a conversational interface.
Developers and engineers building AI-powered document question-answering systems, particularly those learning or implementing LangChain and LangGraph for retrieval-augmented generation (RAG) applications.
It provides a fully functional, customizable template with a modern stack (Next.js, Supabase) and graph-based orchestration, making it easier to build and deploy production-ready PDF chatbots without starting from scratch. The integration with LangGraph offers visual workflow debugging and a state-machine approach for complex agentic behaviors.
Overview
AI PDF chatbot agent built with LangChain & LangGraph
Use Cases
Best For
- Building a custom AI chatbot that answers questions from uploaded PDF documents
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
