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

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. in the GitHub repository you cloned to your local machine during deployment.

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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. You can invoke Lambda functions from over 200 AWS services and software-as-a-service (SaaS) applications.

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Harness the power of MCP servers with Amazon Bedrock Agents

AWS Machine Learning - AI

In the first flow, a Lambda-based action is taken, and in the second, the agent uses an MCP server. These can include single or multiple action groups, with each group having access to multiple MCP clients or AWS Lambda As an option, you can configure your agent to use Code Interpreter to generate, run, and test code for your application.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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

AWS Machine Learning - AI

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Instead, use an IAM role, a Lambda authorizer , or an Amazon Cognito user pool.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. The workflow includes the following steps: The Prepare Map Input Lambda function prepares the required input for the Map state. An EventBridge rule invokes the Rectify & Notify Lambda function.

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Revolutionize trip planning with Amazon Bedrock and Amazon Location Service

AWS Machine Learning - AI

This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services. It will then return the place name with the highest similarity score.