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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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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use AWS services such as Application Load Balancer to implement this approach. Such agents orchestrate interactions between models, data sources, APIs, and applications.

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

AWS Machine Learning - AI

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. In contrast, our solution is an open-source project powered by Amazon Bedrock , offering a cost-effective alternative without those limitations.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker. Solution overview The NER & LLM Gen AI Application is a document processing solution built on AWS that combines NER and LLMs to automate document analysis at scale.

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AWS Open Source Observability – Amazon Neptune and Security Graphs (Part 2)

Xebia

Amazon Neptune is a managed graph database service offered by AWS. Setting up the environment in AWS This walkthrough assumes you are familiar with networking in AWS and can set up the corresponding ACLs, Route tables, and Security Groups for VPC/Regional reachability. aws/config ).

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

This solution uses decorators in your application code to capture and log metadata such as input prompts, output results, run time, and custom metadata, offering enhanced security, ease of use, flexibility, and integration with native AWS services.