AWS Introduces Native Vector Search for DynamoDB

AWS has launched native vector search for DynamoDB, enabling developers to store embeddings and perform similarity queries directly within the database. This integration removes the need to maintain a separate vector database for applications requiring machine learning features. By supporting filtered searches and configurable indexing, the update allows users to manage operational data and vector representations in a single environment.