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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

With serverless being all the rage, it brings with it a tidal change of innovation. or invest in a vendor-agnostic layer like the serverless framework ? or invest in a vendor-agnostic layer like the serverless framework ? The key to event-first systems design is understanding that a series of events captures behavior.

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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Store embeddings into the Amazon OpenSearch Serverless as the search engine.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

During the solution design process, Verisk also considered using Amazon Bedrock Knowledge Bases because its purpose built for creating and storing embeddings within Amazon OpenSearch Serverless. This innovative application of generative AI delivers tangible productivity gains and operational efficiencies to the insurance industry.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

Prerequisites To implement the solution provided in this post, you should have the following: An active AWS account and familiarity with FMs, Amazon Bedrock, and OpenSearch Serverless. About the Authors Sandeep Singh is a Senior Generative AI Data Scientist at Amazon Web Services, helping businesses innovate with generative AI.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

It offers flexible capacity options, ranging from serverless on one end to reserved provisioned instances for predictable long-term use on the other. AWS enables us to scale the innovations our customers love most. He has enjoyed a 30-year career architecting interactive and e-commerce designs for top brands.

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

AWS Machine Learning - AI

By using the AWS CDK, the solution sets up the necessary resources, including an AWS Identity and Access Management (IAM) role, Amazon OpenSearch Serverless collection and index, and knowledge base with its associated data source. He specializes in generative AI, machine learning, and system design.