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Semantic search using vector search for Amazon DocumentDB (with MongoDB compatibility)
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Discover the power of vector search with Amazon DocumentDB (with MongoDB compatibility) and learn how to build a semantic search application that transforms the way you interact with data. In this video, we'll explore the capabilities of vector search, demonstrate a typical architecture, and guide you through the process of creating a semantic search app using vector search for Amazon DocumentDB and Amazon Bedrock.
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Amazon Web Services (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.
#vectorsearch #vectordatabase #semanticsearch #mongodb #bedrock #AWS #AmazonWebServices #CloudComputing
Subscribe:
Do you have technical AWS questions?
ABOUT AWS
Amazon Web Services (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.
#vectorsearch #vectordatabase #semanticsearch #mongodb #bedrock #AWS #AmazonWebServices #CloudComputing
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