Chat with Multiple/Large SQL and Vector Databases

In the video titled “Chat with Multiple/Large SQL and Vector Databases” by Farzad Roozitalab, the presenter explores the integration of Retrieval-Augmented Generation (RAG) with SQL agents using LangChain and LangGraph. The tutorial demonstrates how to build an intelligent chatbot capable of interacting with both vector and SQL databases, providing insights into designing SQL agents for large databases and the advantages of using RAG for unstructured data. The video includes practical examples and a detailed walk-through of the code and setup process.