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Implement secure API access to your Amazon Q Business applications with IAM federation user access management

AWS Machine Learning

Amazon Q Business is a conversational assistant powered by generative AI that enhances workforce productivity by answering questions and completing tasks based on information in your enterprise systems, which each user is authorized to access. This step is performed by the IAM or security administrator in your organization.

APIs 80
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Build generative AI applications on Amazon Bedrock with the AWS SDK for Python (Boto3)

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 85
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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. A Business or Enterprise Google Workspace account with access to Google Chat.

APIs 121
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Create an end-to-end serverless digital assistant for semantic search with Amazon Bedrock

AWS Machine Learning

With the rise of generative artificial intelligence (AI), an increasing number of organizations use digital assistants to have their end-users ask domain-specific questions, using Retrieval Augmented Generation (RAG) over their enterprise data sources. The request is sent by the web application to the API.

APIs 124
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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning

Invoice processing is a critical yet often cumbersome task for businesses of all sizes, especially for large enterprises dealing with invoices from multiple vendors with varying formats. You can upload them directly using the console, API, or as part of your regular business process.

APIs 102
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Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These enterprise customers that are starting to adopt AWS, expanding their footprint on AWS, or plannng to enhance an established AWS environment need to ensure they have a strong foundation for their cloud environment.

APIs 77
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How Druva used Amazon Bedrock to address foundation model complexity when building Dru, Druva’s backup AI copilot

AWS Machine Learning

Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Dru on the backend decodes log data, deciphers error codes, and invokes API calls to troubleshoot. This approach allowed us to break the problem down into multiple steps: Identify the API route.

APIs 106