Web Reference: QueryChat facilitates safe and reliable natural language exploration of tabular data, powered by SQL and large language models (LLMs). To get started, see the official website. Learn how to use QueryChat to add natural language querying to your Python data applications. This tutorial shows you how to let users ask questions about data without building complex filters or dashboards. As a developer, you can access the chat UI component, generated SQL queries, and filtered data to build custom applications that integrate natural language querying into your data workflows. Install the latest stable release from PyPI: The main entry point is the QueryChat class.
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