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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. This solution is available in the AWS Solutions Library. AWS Lambda – AWS Lambda provides serverless compute for processing.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

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needed to address some of these challenges in one of their many AI use cases built on AWS. About the authors Tamer Soliman is a Senior Solutions Architect at AWS. He helps Independent Software Vendor (ISV) customers innovate, build, and scale on AWS. In her free time, she likes to go for long runs along the beach.

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Build multi-agent systems with LangGraph and Amazon Bedrock

AWS Machine Learning Blog

AWS has introduced a multi-agent collaboration capability for Amazon Bedrock Agents , enabling developers to build, deploy, and manage multiple AI agents working together on complex tasks. Stateful architecture Support for stateful and adaptive agents within a graph-based architecture enables more sophisticated behaviors and interactions.

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning Blog

Lets start with a simple travel booking scenario: Your interaction begins with telling a travel planning agent about your desired trip. Essentially, the LLM is transforming your casual, conversational input into a structured set of travel requirements that can be used by the specialized booking agents in the subsequent steps of the workflow.

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