Dhruv Ateja's guest blog post explores the development of a full-stack application that uses an agent to query and visualize data by leveraging LangGraph and LangGraph Cloud's streaming API. Users can upload an SQLite database or CSV file, ask questions, and receive automated data visualizations. The workflow involves schema and metadata extraction, embedding creation for efficient data retrieval, entity and context analysis, relevant table extraction using Retrieval-Augmented Generation, and SQL query generation. The process is orchestrated on LangGraph Cloud, which facilitates complex AI agent construction, real-time updates, and monitoring. The application supports various types of data visualizations, including bar graphs, scatter plots, pie charts, and line graphs, tailored to the user's questions. The implementation emphasizes efficient data handling and visualization formatting, making it accessible for data scientists and business analysts to gain insights quickly. This project showcases the potential of modern AI tools in creating intuitive data exploration and analysis interfaces.