The combination of agent-based methods, large language models (LLMs), and synthetic data is revolutionizing how we interact with databases and data warehouses. This approach enables natural language queries for data in applications or businesses without requiring SQL expertise. In this post, the author demonstrates a practical example using LangChain, LLMs, and synthetic data from Gretel to create a powerful solution for natural language interaction with data in databases and warehouses. The key technologies involved include LLM Chains, Agents, Function Aware LLMs, Synthetic Data, and SQL Databases.