Conference:  CloudOpen 2022

Authors: Laysa Uchoa

2022-06-22

OpenSearch is a community-driven, open-source fork of Elasticsearch and Kibana. Developers who are curious about how search in OpenSearch works will be welcome in this session. Finding a four-pawed friend to adopt can be challenging. If you live in a small flat, you may have some requirements regarding the size of pet you can accommodate. But can OpenSearch assist you in this search? We will try! In this talk, we will learn how to write and run search queries on our OpenSearch cluster with the purpose to find your future friend. We will cover the most common queries from term-level, full-text queries and boolean queries. We will be playing with an interesting pet dataset and the Python OpenSearch client.

Conference:  Transform X 2021

Authors: Selcuk Kopru

2021-10-07

In this session, Dr. Kopru explores why AI-driven similarity clustering, indexing, and search are essential to creating the user experiences needed for today's online marketplaces. Some of these vital AI-driven experiences include search and ranking by text, metadata or images, product review filtering and summarization, fraud detection, and member-to-member communications. He discusses how AI can be applied to text and image similarity searches - or event multi-modal searches, for example, measuring the similarity of a product image and its listing title. Dr. Kopru dives into how eBay uses transformer models to drive similarity capabilities. What are the advanced use-cases enabled by powerful similarity searches? How do you similarity search across billions of items? How can you use smaller models for individual product categories without significantly losing accuracy? Join this session to learn how to apply off-the-shelf transformer models to drive large-scale similarity searches.