
Amazon Aurora PostgreSQL now supports the pgvector extension, enabling efficient storage and similarity search of ML-generated embeddings for building intelligent applications like recommendation systems.


<div><p>This article announces pgvector extension support in Amazon Aurora PostgreSQL for vector storage and similarity search capabilities.</p><ul><li>pgvector enables storage of ML embeddings from Bedrock, SageMaker, and other sources</li><li>Supports efficient similarity searches for ML-enabled applications</li><li>Enables use cases like product recommendations and content discovery</li><li>Available on Aurora PostgreSQL 15.3, 14.8, 13.11, 12.15 and higher</li><li>Accessible across AWS Regions including GovCloud</li><li>Simplifies ML integration using familiar SQL programming language</li></ul><p>Aurora PostgreSQL now provides native vector database capabilities, enabling developers to build AI-powered applications without specialized ML tools or expertise.</p></div>


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