AI PDF chatbot agent built with LangChain & LangGraph
The AI PDF Chatbot powered by LangChain and LangGraph is an innovative solution designed to enhance document interaction and user experience through intelligent querying. By allowing users to upload PDF documents, the chatbot transforms these files into searchable data, enabling precise answers to user queries. Built upon a robust framework that integrates vector databases like Supabase and large language models (LLMs) such as OpenAI, this chatbot exemplifies the capabilities of modern AI in handling complex document-driven tasks seamlessly.
This solution stands out not only for its technical sophistication but also for its user-centric interface that supports real-time interactions and document processing. Whether you’re a developer looking to customize a chatbot or an end-user seeking efficient document management, this tool offers a comprehensive approach that bridges the gap between users and their documents.
Document Ingestion Graph: Easily upload and parse PDF files into Document objects, while storing vector embeddings in a convenient vector database, enhancing data retrieval.
Retrieval Graph: Capable of determining whether to directly answer user questions or retrieve documents, ensuring accurate and contextual responses.
Streaming Responses: Enjoy real-time streaming of partial responses, providing users with immediate feedback while they await complete information.
LangGraph Integration: Utilizes a state machine design to orchestrate various workflow steps, aiding visualization and facilitating debugging during the document processing stages.
Next.js Frontend: Offers a user-friendly interface for file uploads and interactive chats, designed for smooth extension with React components and Tailwind for flexibility.
Backend Architecture: Powered by Node.js and TypeScript, the backend configures various graphs for document ingestion, retrieval, and overall management, streamlining the processing pipeline.
Prerequisite Support: Requires Node.js v18+, npm or Yarn, and an OpenAI API key, ensuring a fully functional setup right out of the box for optimal performance.
Customizable Agent: Provides users the ability to customize the chatbot agent based on specific needs, enhancing versatility for varied application scenarios.
