gpt4-pdf-chatbot-langchain
FreeChatbot for large PDF files.
FreeFree tier
Inputs: fileOutputs: text
About gpt4-pdf-chatbot-langchain
This is an open-source, archived project that provides a customizable template for building an AI chatbot agent capable of ingesting PDF documents and answering user queries about their content. It is built using LangChain and LangGraph as orchestration frameworks, with OpenAI as the default large language model provider and Supabase as the vector database for storing embeddings. The project includes both a backend for document processing and retrieval, and a frontend user interface for uploading PDFs and interacting with the chatbot. It is designed as a reference implementation and is not actively maintained.
Key Features
PDF document ingestion and parsing
Vector embedding storage using Supabase
Retrieval-augmented question answering
Built with LangChain and LangGraph frameworks
Customizable agent architecture
Frontend chat interface included
Open-source and free to use
Pros & Cons
Pros
- Open-source and free to use
- Provides a complete template with both frontend and backend
- Uses modern frameworks (LangChain, LangGraph) for extensibility
- Supports large PDF files via vector database storage
Cons
- Project is archived and not actively maintained
- Requires self-hosting and configuration of dependencies (e.g., Supabase, OpenAI API key)
- Limited to PDF input; does not support other document types out of the box
- Performance and accuracy depend on the underlying LLM and embedding model used
Best For
Building a custom Q&A system for large PDF documentsLearning how to implement LangChain and LangGraph for document retrievalPrototyping an AI assistant for research papers or legal documentsCreating a reference implementation for PDF-based chatbots
FAQ
Is this project still actively maintained?
Based on the repository status, the project was archived by the owner on March 27, 2026, and is now read-only. It is not actively maintained and should be used as a reference.
What technologies does this chatbot use?
It uses LangChain and LangGraph for orchestration, OpenAI as the default LLM provider, and Supabase as the vector database for storing embeddings. The frontend appears to be built with a JavaScript framework.
Can I use this with other LLM providers besides OpenAI?
The project is designed as a customizable template, so it likely supports other LLM providers through LangChain integrations, but this should be verified in the documentation.
Do I need to pay for anything to use this?
The software itself is free and open-source. However, you may incur costs for hosting (e.g., Supabase, server) and for API usage (e.g., OpenAI API). Exact costs depend on your usage.
What file types does the chatbot support?
Based on the description, it specifically ingests PDF documents. Support for other file types is not mentioned and should be assumed not available without modification.