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While LLMs excel with unstructured data through RAG, structured data needs a different approach. Join Tarun Jain -- the Founding Engineer at Stealth Startup, a Google Developer Expert in AI, and a Streamlit Creator -- as he builds a data analytics agent that converts natural language queries into pandas operations or SQL commands to analyze CSV files. The agent can understand user questions, generate appropriate code, execute it automatically, and present results through visualizations. The system uses Streamlit as the frontend, into which users can upload CSV files and use to ask analytical questions in plain English. The LLM-powered agent interprets these queries, writes the necessary pandas or SQL code, runs it safely, and displays insights through charts and tables. Subscribe to this channel for more great content! 👉 http://www.snowflake.com/YTsubscribe/ Click here to start your 30-day free Snowflake trial, which includes $400 worth of free usage: 👉 https://snowflake.com/youtube-dev-trial Explore sample code, download tools, and connect with peers: 👉 https://developers.snowflake.com/ #Snowflake #AIDataCloud #AI #GenAI #ArtificialIntelligence #Streamlit #aiagents #llm #naturallanguageprocessing #pandas #sql #dataanalytics