
AWS Brings Native Vector Search to DynamoDB, Eliminating the Need for a Separate Vector Database
Amazon Web Services has introduced native vector search for DynamoDB, allowing developers to store embeddings and run approximate nearest-neighbor queries directly in the managed NoSQL database. This eliminates the need for a separate vector database and the data pipelines that kept systems in sync. The feature supports up to 4096 dimensions, offers multiple distance functions, and is available in all AWS regions.








