AWS analytics Shortclips: Amazon OpenSearch Service KNN (Hebrew)

66 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

Amazon OpenSearch Service offers k-Nearest Neighbor (k-NN) search which can enhance search similarity in use cases like product recommendations, fraud detection, image, video and semantic document retrieval. Built using the lightweight and efficient Non-Metric Space Library (NMSLIB), KNN enables high scale, low latency nearest neighbor search on billions of documents across thousands of dimensions with the same ease as running any regular OpenSearch query.
In this short clip, we explain about OpenSearch Service KNN feature, what are the benefits and various use cases. We also demo a use case where you search for clothing items, comparing Full text search and KNN based search

Want $300 in AWS credits to start building a proof of concept project using AWS Data and Analytics tools and services?
Apply today for the D&A POC Program » https://bit.ly/3lp3StS Subscribe to AWS Online Tech Talks On AWS:
https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1

Follow Amazon Web Services:
Official Website: https://aws.amazon.com/what-is-aws
Twitch: https://twitch.tv/aws
Twitter: https://twitter.com/awsdevelopers
Facebook: https://facebook.com/amazonwebservices
Instagram: https://instagram.com/amazonwebservices

☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS.

#AWS