Getting started with Vector Search

Amazon ElastiCache for Valkey supports vector search, enabling you to store, search, and update billions of high-dimensional vector embeddings in-memory with latencies as low as microseconds and recall greater than 99%. ElastiCache for Valkey provides capabilities to index, search, and update billions of high-dimensional vector embeddings from popular providers like Amazon Bedrock, Amazon SageMaker, Anthropic or OpenAI for fast search and retrieval. Vector search for Amazon ElastiCache is ideal for use cases where peak performance and scalability are the most important selection criteria. This includes semantic caching, retrieval-augmented generation, real-time recommendations, personalization, and anomaly detection.

Vector search can be used in conjunction with other ElastiCache features to enhance your applications. Vector search for ElastiCache is available in Valkey version 8.2 on node-based clusters in all AWS Regions at no additional cost. To get started, create a new Valkey 8.2 cluster using the AWS Management Console, AWS SDK, or AWS CLI. You can also use vector search on your existing cluster by upgrading from any previous version of Valkey or Redis OSS to Valkey 8.2 in a few clicks with no downtime.