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title: Amazon DynamoDB now supports real-time vector search
description: AWS has announced the general availability of native vector search for Amazon DynamoDB. The feature enables indexing and searching vector embeddings in real...
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# Amazon DynamoDB now supports real-time vector search

**[AWS](https://daily.dev/sources/aws)** · 2 min read · 0 upvotes · 0 comments

## Summary

AWS has announced the general availability of native vector search for Amazon DynamoDB. The feature enables indexing and searching vector embeddings in real time with single-digit millisecond latency at 99%+ recall, designed to scale to trillions of vectors. Vectors are stored alongside other DynamoDB attributes, with support for approximate nearest neighbor (ANN) searches, attribute filtering, and custom partition keys for scaling. The feature retains DynamoDB's serverless model — no infrastructure management, zero downtime, and pay-per-use pricing. Use cases include AI agent memory with semantic retrieval, RAG pipelines, product similarity search, personalized advertising, and recommendation systems. Available in all commercial AWS Regions and GovCloud.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/about-aws/whats-new/2026/08/amazon-dynamodb-vector-search>

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Tags: [#aws](https://daily.dev/tags/aws), [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#amazon-bedrock](https://daily.dev/tags/amazon-bedrock), [#aws-dynamodb](https://daily.dev/tags/aws-dynamodb)

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