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Saved February 14, 2026
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PostgreSQL has launched pg_ai_query, an extension that generates SQL queries from natural language and analyzes query performance. It offers index recommendations and schema-aware intelligence to streamline SQL development. The extension is compatible with PostgreSQL versions 14 and above.
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PostgreSQL has released pg_ai_query, an extension designed to enhance SQL development using artificial intelligence. This tool allows users to generate SQL queries from natural language prompts. For example, you can input something like "list customers who have not placed an order in the last 90 days," and pg_ai_query will convert it into the appropriate SQL command. This feature aims to streamline the query-writing process, making it accessible to developers who may not be SQL experts.
Beyond query generation, pg_ai_query offers performance analysis through AI-interpreted EXPLAIN ANALYZE. It provides recommendations for indexing and query rewrites, helping users optimize their database interactions. The extension is schema-aware, meaning it can understand the structure of your database and provide intelligent insights based on that context. It works with PostgreSQL versions 14 and above.
The project is open for feedback and contributions, indicating a commitment to community involvement and ongoing development. Documentation and installation instructions are readily available, along with access to the source code on GitHub. This release marks a significant advancement for PostgreSQL users, particularly those managing complex workloads who need to improve their query efficiency without shifting between tools.
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