---
title: "Build semantic search with native vector support in Amazon DynamoDB"
url: https://daily.dev/posts/build-semantic-search-with-native-vector-support-in-amazon-dynamodb-dsvhjeen6
source_url: https://aws.amazon.com/blogs/database/build-semantic-search-with-native-vector-support-in-amazon-dynamodb
type: article
source: "AWS Database Blog"
published: 2026-08-05T21:00:19.832Z
updated: 2026-08-05T21:43:24.077Z
tags: ["aws", "nlp", "vector-search", "amazon-bedrock"]
reading_time: 15
upvotes: 0
comments: 0
language: en
---

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# Build semantic search with native vector support in Amazon DynamoDB

**[AWS Database Blog](https://daily.dev/sources/aws-database-blog)** · 15 min read · 0 upvotes · 0 comments

## Summary

Amazon DynamoDB now supports native vector search, eliminating the need for a separate vector database alongside your operational data. The post walks through building a semantic search application over research paper abstracts using Python: creating a DynamoDB table with a vector index, generating embeddings via Amazon Bedrock (Titan Text Embeddings V2), storing them alongside item data, and querying with the new SearchVectors API. Key configuration options covered include distance functions (DOT_PRODUCT, COSINE, EUCLIDEAN), projection settings, optional partition keys for cost control, and inline filtering. The billing model is explained in detail — charges apply per byte for vector writes, searches, and storage, with a 1 KB minimum per operation. Important constraints include on-demand capacity mode requirement, eventual consistency, immutable index configuration, and a default limit of 5 vector indexes per table.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/blogs/database/build-semantic-search-with-native-vector-support-in-amazon-dynamodb>

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---

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

[View this post on daily.dev](https://daily.dev/posts/build-semantic-search-with-native-vector-support-in-amazon-dynamodb-dsvhjeen6)