# Amazon DynamoDB now supports real-time vector search at any scale

DevFeed: [Amazon DynamoDB now supports real-time vector search at any scale](<https://devfeed.tech/articles/amazon-dynamodb-now-supports-real-time-vector-search-at-any-scale-4605.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/aws/amazon-dynamodb-now-supports-real-time-vector-search-at-any-scale/>)

Author: Esra Kayabali

Published: 2026-08-05T14:45:10Z

Content type: release

Language: en

Sources: [AWS News Blog](<https://devfeed.tech/sources/aws-news-blog.md>)

Topics: [AI search](<https://devfeed.tech/topics/ai-search.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>)

Tags: [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [amazon-dynamodb](<https://devfeed.tech/tags/amazon-dynamodb.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [api](<https://devfeed.tech/tags/api.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [database](<https://devfeed.tech/tags/database.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [latency](<https://devfeed.tech/tags/latency.md>), [launch](<https://devfeed.tech/tags/launch.md>), [news](<https://devfeed.tech/tags/news.md>), [openai](<https://devfeed.tech/tags/openai.md>), [real-time](<https://devfeed.tech/tags/real-time.md>), [retrieval-augmented-generation](<https://devfeed.tech/tags/retrieval-augmented-generation.md>), [scale](<https://devfeed.tech/tags/scale.md>), [search](<https://devfeed.tech/tags/search.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

Amazon DynamoDB has added generally available native vector search, allowing embeddings and operational data to be stored and queried together. The feature provides similarity-ranked results with configurable dimensions, distance functions, and filters, without a separate vector database or synchronization pipeline.

## Source excerpt

DynamoDB now supports native vector search with single-digit millisecond latency at 99%+ recall. It is designed for any scale, even trillions of vectors and requires zero infrastructure management.