Vector search

Vector search for MemoryDB extends the functionality of MemoryDB. Vector search can be used in conjunction with existing MemoryDB functionality. Applications that do not use vector search are unaffected by its presence. Vector search is available in all Regions that MemoryDB is available.

Vector search for simplifies your application architecture while delivering high-speed vector search. Vector search for MemoryDB is ideal for use cases where peak performance and scale are the most important selection criteria. You can use your existing MemoryDB data or Redis OSS API to build machine learning and generative AI use cases, such as retrieval-augmented generation, anomaly detection, document retrieval, and real-time recommendations.

As of 6/26/2024, AWS MemoryDB delivers the fastest vector search performance at the highest recall rates among popular vector databases on AWS.

Topics

• Vector search overview
• Use cases
• Vector search features and limits
• Using the AWS Management Console
• Using the AWS Command Line Interface
• Vector search commands