Amazon OpenSearch Service as a Vector Database

#AmazonWebServices #CloudComputing #AWS #OpenSearchService In this video, you will learn about the Vector Database capabilities of Amazon OpenSearch Service. You'll discover the various Machine Learning integrations and plugins supported by OpenSearch Service. We'll explore multiple use cases where you can leverage the vector data capabilities of Amazon OpenSearch Service to improve your applications' performance and enhance customer experience. Related Videos Vectors and Vector Embeddings: https://go.aws/4h41y7X References: Amazon OpenSearch Service’s vector database capabilities explained: https://go.aws/3Uacwig Workshop: Semantic and Vector Search with Amazon OpenSearch Service: https://go.aws/4hb0zmz Try semantic search with the Amazon OpenSearch Service vector engine: https://go.aws/3UcSbZL Semantic search in Amazon OpenSearch Service: https://go.aws/3YqIlWS Subscribe: More Amazon OpenSearch Service videos: https://go.aws/4h4NX05 More AWS videos: https://go.aws/4h48n9B ABOUT Amazon OpenSearch Service. Amazon OpenSearch Service is a managed service that makes it easy for you to perform interactive log analytics, real-time application monitoring, website search, and more. OpenSearch is an open source, distributed search and analytics suite derived from Elasticsearch. Amazon OpenSearch Service offers the latest versions of OpenSearch, support for 19 versions of Elasticsearch (1.5 to 7.10 versions), as well as visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5 to 7.10 versions). Amazon OpenSearch Service currently has tens of thousands of active customers with hundreds of thousands of clusters under management processing trillions of requests per month. See the Amazon OpenSearch Service FAQ for more information. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster. 00:00 - Introduction 00:21 - Amazon OpenSearch Service as a Vector database 01:18 - Vector database and Vector search 02:00 - Purpose-build for search and Analytics 03:28 - Vector workloads 04:28 - Examples 06:24 - Plugins and ML integrations 08:17 - Ingestion pattern 09:22 - Value proposition 09:45: Outro #OpenSearchService #OpenSearch #AmazonOpenSearchService #vectorembeddings #vectordatabase #genai #vectorstore #semanticsearch #AIML