AI Document Chatbot & Agent Powered by LangChain and LangGraph

An AI chatbot agent that "ingests" documents, stores embeddings in a vector database (Supabase), and then answers user queries using LLM provider (Ollama) utilising LangChain and LangGraph as orchestration frameworks. Built on Nx monorepo

Features

• Document Ingestion Graph: Parse PDFs into Document objects, then store vector embeddings into a vector database (used Supabase in this example with can be extended to pgVector or chroma).
• Retrieval Graph: Handle user questions, decide whether to retrieve documents or give a direct answer, then generate concise responses with references to the retrieved documents.
• Streaming Responses: Real-time streaming of partial responses from the server to the client UI.
• LangGraph Integration: Built using LangGraph’s state machine approach to orchestrate ingestion and retrieval, visualise your agentic workflow, and debug each step of the graph.
• Frontend: Allow file uploads and real-time chat.

---

Local Development

1. Install packages

yarn

2. Create .env.local with supabase creds & name of embedding
3. Start the server

npx nx serve platform

4. Start application UI

npx nx dev platform-ui

If you want to build the application execute:

npx nx build platform