In this video, we will build a multi-agent AI researcher using Ollama, Langgraph, and Streamlit that performs a deep search on the web based on the user’s query. I will guide you step by step through understanding the concept of multi-agent systems, setting up Ollama’s Qwen LLM model, using Langgraph (from LangChain) to create multiple AI agents and configure them to communicate with each other in a supervisor architecture, and finally, building a simple Streamlit UI for the application.
If you’re curious about multi-agent systems and want to learn about different architectures for them, this tutorial is for you.
You can watch it here: https://www.youtube.com/watch?v=eV-zVWClcj0&list=PLp01ObP3udmq2quR-RfrX4zNut_t_kNot&index=21