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  • Chat-With-Data enables natural language querying of CSV, Excel, and databases using an OpenAI-powered AI agent.
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    What is Chat-With-Data?
    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.
    Chat-With-Data Core Features
    • Natural language querying of CSV and Excel files
    • Support for database connections with SQLAlchemy
    • Interactive Streamlit web interface
    • On-the-fly data visualization with charts
    • Integration with LangChain DataFrameAgent
    • Semantic search over large tables via embeddings
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