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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent. Python 3.9 or later Node.js

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The collaboration between BQA and AWS was facilitated through the Cloud Innovation Center (CIC) program, a joint initiative by AWS, Tamkeen , and leading universities in Bahrain, including Bahrain Polytechnic and University of Bahrain. The text summarization Lambda function is invoked by this new queue containing the extracted text.

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Create generative AI agents that interact with your companies’ systems in a few clicks using Amazon Bedrock in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Users can access these AI capabilities through their organizations single sign-on (SSO), collaborate with team members, and refine AI applications without needing AWS Management Console access. The workflow is as follows: The user logs into SageMaker Unified Studio using their organizations SSO from AWS IAM Identity Center.

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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. Project setup Make sure you installed the AWS CDK cli. Project setup Make sure you installed the AWS CDK cli. Project setup Make sure you installed the AWS CDK cli.

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Deploying Ruby AWS Lambda functions with CDK

MagmaLabs

It is an open-source tool created by the AWS team. It uses the Construct Programming Model (CPM) to generate CloudFormation templates and materializes them as AWS resources when deployed. There are many more construct libraries to choose from at [link]. There are many more construct libraries to choose from at [link].

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