Building a Multimodal Chatbot with RAG and LangGraph - Tools and Memory Implementation

Learn to build a multimodal agent with database integration, tools access, and memory capabilities for managing multiple users and conversations in this 38-minute video tutorial. Explore practical implementation steps using LangGraph to create a sophisticated chatbot that can handle travel-related queries using synthetic data. Follow along with the provided Jupyter notebook to understand the integration of RAG (Retrieval-Augmented Generation) techniques, database tools, and conversation memory management. Access the complete source code and synthetic travel dataset through the GitHub repository to implement your own multimodal chatbot system.