Source
Amazon DynamoDB now supports real-time vector search at any scale
Amazon has announced the general availability of native vector search in Amazon DynamoDB. This feature allows users to store vector embeddings and perform similarity searches directly on operational data without using a separate vector store.
Why it matters
Developers can now implement AI-powered semantic search without the cost and complexity of managing a separate database and synchronization pipeline. This reduces operational overhead and simplifies the infrastructure required for AI applications.
The details
- Supports single-digit millisecond latency and scales to trillions of vectors.
- Compatible with Euclidean, Cosine, and Dot product distance functions.
- Supports up to 4096 dimensions and incorporates inline filtering.
Get the weekly recap
The stories like this one, picked and explained — once a week, straight to your inbox.