Shypd.aiThe largest open index of AI toolspgai is a Coding & Development tool that transforms PostgreSQL into a robust retrieval engine for RAG and Agentic applications. It automatically creates and synchronizes vector embeddings from PostgreSQL data and S3 documents.
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pgai is a Python library designed to simplify the development of AI applications, including RAG (Retrieval-Augmented Generation) and semantic search, by leveraging PostgreSQL. It automates the creation and synchronization of vector embeddings from various data sources like PostgreSQL tables and S3 documents, ensuring embeddings are updated as data changes. The tool features a Semantic Catalog for natural language to SQL conversion, enabling AI-powered text-to-SQL for agentic applications. It offers powerful vector and semantic search capabilities using pgvector and pgvectorscale. Built for production, pgai supports batch processing for efficient embedding generation and includes built-in handling for model failures, rate limits, and latency spikes. It is compatible with any PostgreSQL database, including Timescale Cloud, Amazon RDS, and Supabase.
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