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Опубликовано 21 марта 2024, 18:43
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.
Code sample: github.com/aws-samples/amazon-...
Learn more about vector search: go.aws/43r6o8I
Get started with free trial for Amazon DocumentDB: aws.amazon.com/documentdb/free...
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More AWS events videos: go.aws/3ZHq4BK
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Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
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
Code sample: github.com/aws-samples/amazon-...
Learn more about vector search: go.aws/43r6o8I
Get started with free trial for Amazon DocumentDB: aws.amazon.com/documentdb/free...
Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
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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