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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 116
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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 108
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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. SageMaker runs the legacy script inside a processing container. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 124
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Generative AI agents are a versatile and powerful tool for large enterprises. At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API.

APIs 127
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

APIs 114
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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 70
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Derive meaningful and actionable operational insights from AWS Using Amazon Q Business

AWS Machine Learning

Amazon Q Business is a fully managed, secure, generative-AI powered enterprise chat assistant that enables natural language interactions with your organization’s data. The AWS Support, AWS Trusted Advisor, and AWS Health APIs are available for customers with Enterprise Support, Enterprise On-Ramp, or Business support plans.

Scripts 103