Chat-With-Data is a Python-based tool and web interface built on Streamlit, LangChain, and OpenAI’s GPT API. It automatically parses tabular datasets or database schemas and creates an AI agent that understands natural language queries about your data. Under the hood, it chunks large tables, builds an embedding index for semantic search, and formulates dynamic prompts to generate context-aware responses. Users ask questions like “What are the top 5 sales regions this quarter?” or “Show me a bar chart of revenue by category,” and receive answers or interactive plots without writing SQL or pandas code. The platform runs locally or on a server, ensuring data privacy while accelerating exploratory analysis for both technical and nontechnical users.

Pydantic is designed to help developers manage data easily through data validation and settings management using Python. It allows users to define data models using Python classes, automatically validating the data against these models. This includes type checking, validation of nested objects, and even configuration management. With Pydantic, developers can quickly catch data issues at runtime, improving robustness and maintainability in applications.