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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. This request contains the user’s message and relevant metadata.

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Building Resilient Public Networking on AWS: Part 4

Xebia

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. But to keep this example as simple as possible, we will use a built-in feature of AWS Global Accelerator that routes traffic to the healthy endpoints. subdomain-1.cloudns.ph",

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Creating asynchronous AI agents with Amazon Bedrock

AWS Machine Learning - AI

This post will discuss agentic AI driven architecture and ways of implementing. Agentic AI architecture Agentic AI architecture is a shift in process automation through autonomous agents towards the capabilities of AI, with the purpose of imitating cognitive abilities and enhancing the actions of traditional autonomous agents.

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Relative Python imports in a Dockerized lambda function

Xebia

Relative Python imports can be tricky for lambda functions. But recently, I ran into the same issue with Dockerized lambda functions. py touch lib/functions/hello-world/requirements.txt touch lib/functions/hello-world/Dockerfile Now you will need to fill the Dockerfile, like this: FROM public.ecr.aws/lambda/python:3.12

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Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning - AI

invoke(input_text=Convert 11am from NYC time to London time) We showcase an example of building an agent to understand your Amazon Web Service (AWS) spend by connecting to AWS Cost Explorer , Amazon CloudWatch , and Perplexity AI through MCP. In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

We walk through the key components and services needed to build the end-to-end architecture, offering example code snippets and explanations for each critical element that help achieve the core functionality. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Accelerate building on AWS What if your AI assistant could instantly access deep AWS knowledge, understanding every AWS service, best practice, and architectural pattern? Lets create an architecture that uses Amazon Bedrock Agents with a custom action group to call your internal API.

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