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

AWS Machine Learning

In this post, we guide you through integrating Amazon Bedrock Agents with enterprise data APIs to create more personalized and effective customer support experiences. An automotive retailer might use inventory management APIs to track stock levels and catalog APIs for vehicle compatibility and specifications.

APIs 112
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

adds new APIs to customize GraphStorm pipelines: you now only need 12 lines of code to implement a custom node classification training loop. Based on customer feedback for the experimental APIs we released in GraphStorm 0.2, introduces refactored graph ML pipeline APIs. Specifically, GraphStorm 0.3 In addition, GraphStorm 0.3

APIs 100
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Integrate dynamic web content in your generative AI application using a web search API and Amazon Bedrock Agents

AWS Machine Learning

Amazon Bedrock agents use LLMs to break down tasks, interact dynamically with users, run actions through API calls, and augment knowledge using Amazon Bedrock Knowledge Bases. In this post, we demonstrate how to use Amazon Bedrock Agents with a web search API to integrate dynamic web content in your generative AI application.

APIs 96
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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

The custom Google Chat app, configured for HTTP integration, sends an HTTP request to an API Gateway endpoint. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. The following figure illustrates the high-level design of the solution.

APIs 108
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Build end-to-end document processing pipelines with Amazon Textract IDP CDK Constructs

AWS Machine Learning

In this post, we demonstrate how to solve these challenges using Amazon Textract IDP CDK Constructs , a set of pre-built IDP constructs, to accelerate the development of real-world document processing pipelines. However, you can extend these constructs for any form type. Queries is a list of queries.

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Automate the process to change image backgrounds using Amazon Bedrock and AWS Step Functions

AWS Machine Learning

The Streamlit web application calls an Amazon API Gateway REST API endpoint integrated with the Amazon Rekognition DetectLabels API , which detects labels for each image. Constructs a request payload for the Amazon Bedrock InvokeModel API. Invokes the Amazon Bedrock InvokeModel API action.

APIs 123
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. The EventBridge model registration event rule invokes a Lambda function that constructs an email with a link to approve or reject the registered model.

APIs 108