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Build a Serverless Search Engine with DynamoDB Vector Search and AWS CDK

BACKGROUND
1 SIGNALFIRST DETECTED 16 September 2026
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20 Aug
Adding Semantic Search to an Existing DynamoDB Table with Vector Indexes

<p>Whenever someone asks me to add search to an application, I try to find ways around it. The implementation itself isn't the problem, it's everything that comes with it: extra

REPORT · WHAT · Dev.toOPEN STORY
18 Aug
DynamoDB Now Does Vector Search

<p><em>Originally published on <a href="https://buildwithaws.substack.com" rel="noopener noreferrer">Build With AWS</a>. Subscribe for weekly AWS builds.</em></p> <p><a

REPORT · WHAT · Dev.toOPEN STORY
20 Oct
AWS Shipped a DynamoDB API That Stores Everything in Postgres. Read the Tables It Writes

<ul> <li> <strong>Book:</strong> <a href="https://www.amazon.com/dp/B0GYLMVX9S" rel="noopener noreferrer">Database Playbook</a> </li> <li> <strong>Also by me:</strong>

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13 Apr
Scaling Vector Databases: How to Handle Billions of Embeddings

<p>Your RAG application works perfectly with 1,000 documents. You push it to production, upload 10 million vectors, and suddenly your query latency jumps from 50ms to 5 seconds.

REPORT · HOW · Dev.toOPEN STORY
30 Apr
MongoDB Vector Search in Laravel: Finding the Unqueryable

<p>Simple, keyword-based database queries are often inadequate for user searches because they struggle with complexities such as synonyms, slang, and relevance judgments. They

REPORT · WHAT · Dev.toOPEN STORY
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