Auto-optimize your Amazon OpenSearch Service vector database

This article announces the general availability of auto-optimize for Amazon OpenSearch Service vector engine, which automatically optimizes vector indexes for search quality, speed, and cost.

• Auto-optimize evaluates configuration trade-offs across search quality, speed, and cost savings
• Reduces optimization time from weeks to under an hour without infrastructure management
• Automatically configures HNSW algorithm parameters, quantization techniques, and engine settings
• Serverless jobs run at flat rate without consuming collection or domain resources
• Integrated with vector ingestion pipelines for quick index building from S3 sources
• GPU-acceleration available to increase build speed up to 10x faster at quarter indexing cost
• Real-world examples show 50-80% RAM reduction and significant cost savings across datasets
• Available in multiple AWS regions for OpenSearch 2.17+ domains and vector collections

Auto-optimize simplifies vector database optimization by automating manual tuning, enabling organizations to build optimized billion-scale vector databases quickly without specialized expertise.