The open source SQL AI agent makes text-to-SQL conversion simple.
Wren AI is an open source SQL AI agent designed to help data and product teams interact with data through natural language to generate SQL queries, charts, spreadsheets, reports and BI. It adopts a semantic engine architecture to provide business context for LLM, processing metadata, schema, terminology, data relationships, and the logic behind calculation and aggregation through "Modeling Definition Language" to generate accurate SQL queries with semantic context. The main advantages of Wren AI include being easy to use, safe and reliable, open source and free, supporting a variety of data sources and analysis tools, such as BigQuery, DuckDB, PostgreSQL, etc., and can be integrated with popular tools such as Excel and Google Sheets. It also supports multiple LLM models, whether hosted in the cloud or on-premises. Wren AI is positioned to provide data teams with a powerful tool to improve the efficiency of data access and analysis.
The target audience is data teams and product teams, especially non-technical teams who want to improve the efficiency of data access and analysis, but do not want to delve into writing SQL code. By providing natural language interaction, Wren AI allows them to obtain data insights more quickly without relying on professional data analysts or developers. In addition, Wren AI is also an ideal choice for enterprises that want to quickly build analysis and reporting functions on existing data architecture.
An e-commerce company uses Wren AI to quickly generate SQL queries, analyze user purchasing behavior data, and optimize marketing strategies.
Data analysts use Wren AI's GenBI function to transform complex query results into intuitive charts and reports, which are presented to management.
The product team takes advantage of Wren AI's integration with Excel to obtain data in real time and conduct further analysis and visualization.
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