Use Workik AI to craft optimized PostgreSQL queries. Whether it's advanced analytics or batch data processing, effortlessly elevate your project's productivity. Test your AI generated queries with Workik's mock data, ensuring their accuracy ...

November 23, 2025 - SELECT generate_query('list customers who have not placed an order in the last 90 days'); Analyze query performance using AI-interpreted EXPLAIN ANALYZE ... Designed to help developers write and tune SQL faster without switching tools and to accelerate iteration across complex workloads. Documentation and installation instructions: https://benodiwal.github.io/pg_ai_query

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Generate PostgreSQL queries instantly with AI. The smartest way to write Postgres SQL without manual coding.

Generate, optimize, validate, format, and explain queries for PostgreSQL with AI.

AI2sql leverages advanced AI to turn natural language instructions into ready-to-use SQL queries for Postgres. Whether you’re analyzing business data or building applications, AI2sql saves you time and reduces manual errors.

Free PostgreSQL Query Generator - AI-powered Postgres query builder. Generate CTEs, window functions, JSON queries, and full-text search from natural language.

Writing complex SQL for PostgreSQL analytics, JSON queries, and schema optimizations can slow down even the most experienced developers. AI2sql automates PostgreSQL query generation using AI, letting you convert natural language into performant ...

Build AI apps in minutes with a GPU-powered Postgres database

This AI Data Analytics chatbot generates SQL queries with AI, like ChatGPT for your SQL Database. Connect it to your SQL database for cutting edge AI Data Analysis, and let it work for you.

This list includes projects, extensions or demos showcasing how to use PostgreSQL® in the AI landscape · pgvector: open-source vector similarity search for PostgreSQL. Includes vector storage and similarity search, as well as IVFFlat and HNSW indexing · pg_vectorize: open-source PostgreSQL extension that automates the transformation and orchestration of text to embeddings, allowing vector and semantic search on existing data with as little as two function calls. postgresml: Generative AI and Simple ML with PostgreSQL.

In-browser Postgres sandbox with AI assistance

January 20, 2026 - Generate vector embeddings with Azure OpenAI in Azure Database for PostgreSQL · Azure AI extension in Azure Database for PostgreSQL

August 12, 2024 - Introducing database.build (formerly postgres.new), the in-browser Postgres sandbox with AI assistance. With database.build, you can instantly spin up an unlimited number of Postgres databases that run directly in your browser (and soon, deploy them to S3). Each database is paired with a large language model (LLM) which opens the door to some interesting use cases: Drag-and-drop CSV import (generate table on the fly)

May 5, 2025 - Retrieval-augmented generation ... data for AI models. Personalization: Tailor content, offers, or support based on user behavior and semantic similarity to previous actions. In-database embedding generation: With modern extensions and external model integrations, you can now generate embeddings directly in PostgreSQL, making RAG ...

PostgreSQL extensions for AI workloads · pgVector — HNSW & IVFFlat similarity search · VectorChord BM25 — Native keyword ranking · pg_tokenizer — Text tokenization · pgVector — HNSW & IVFFlat similarity search · VectorChord BM25 — Native keyword ranking · pg_tokenizer — Text tokenization · Read Docs→Github Package→Github Repos→ · Automatic embedding generation ·

The pgEdge Agentic AI Toolkit provides a complete, PostgreSQL-native stack for building production AI applications.

Return results and detect fraud faster with ML at the database layer. PostgresML abstracts the data management overhead from the ML/AI lifecycle by enabling users to run ML/LLM models directly on a Postgres database. ... Save more time by automatically generating SQL queries based on your database ...

For the model to generate accurate SQL queries, it needs context about your database schema, tables, and relationships. You will communicate this information through a prompt that should include: ... You are a SQL (postgres) and data visualization expert. Your job is to help the user write a SQL query to retrieve the data they need.

Explore our free online PostgreSQL editor to practice and execute SQL. AI-enhanced to chat, explain, and generate code. Start coding smarter today!