Luc van Donkersgoed • 3/31/2026

Introducing semantic content search to AWS News

This article details the implementation of semantic content search in the AWS News Feed, moving beyond literal title search to consider article meanings. It explains how embeddings models convert text into vectors, enabling similarity comparisons using cosine similarity. The article covers the use of S3 vector buckets for storing embeddings, improving search for capabilities like video streaming or scaling Kafka brokers. It also discusses how semantic search powers features like related articles and personalized recommendations, providing a technical overview of the architecture and benefits.

0 comments

#aws #S3 #Vector Search