# Amazon — AWS vector solutions: Build agentic AI where your data lives

- Company: Amazon (amazon.com)
- Announced: 2026-08-20T16:06:06+00:00
- Category: infrastructure-release
- Subject: Bedrock / Nova
- Source: https://aws.amazon.com/blogs/machine-learning/aws-vector-solutions-build-agentic-ai-where-your-data-lives/
- Record: https://forck.live/items/4295-aws-vector-solutions-build-agentic-ai-where-your-data-lives

AWS announces vector solutions including search and retrieval capabilities that can be added to existing AWS data stores (Amazon OpenSearch Service, S3, Aurora PostgreSQL, DynamoDB, ElastiCache for Valkey, Neptune) to support agentic AI workloads such as RAG, semantic search, hybrid search, GraphRAG, knowledge graphs, real-time recommendations, anomaly detection, and multimodal discovery. For new workloads, Amazon OpenSearch Service is recommended as the default vector engine.

## Evidence

Verbatim from https://aws.amazon.com/blogs/machine-learning/aws-vector-solutions-build-agentic-ai-where-your-data-lives/:

> AWS vector solutions bring intelligent search and retrieval to your data where it already lives, helping agents find and use the right context without requiring you to move or duplicate your data.

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