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Multi-tenancy in RAG applications in a single Amazon Bedrock knowledge base with metadata filtering

AWS Machine Learning Blog

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies and AWS. Solution overview The following diagram provides a high-level overview of AWS services and features through a sample use case.

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Enhance your Amazon Redshift cloud data warehouse with easier, simpler, and faster machine learning using Amazon SageMaker Canvas

AWS Machine Learning Blog

Prerequisites Before you begin, make sure you have the following prerequisites in place: An AWS account and role with the AWS Identity and Access Management (IAM) privileges to deploy the following resources: IAM roles. Open the AWS Management Console, go to Amazon Bedrock, and choose Model access in the navigation pane.

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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning Blog

Implementing a multi-modal agent with AWS consolidates key insights from diverse structured and unstructured data on a large scale. All this is achieved using AWS services, thereby increasing the financial analyst’s efficiency to analyze multi-modal financial data (text, speech, and tabular data) holistically.

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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning Blog

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. simple Finance Did meta have any mergers or acquisitions in 2022? Vector database FloTorch selected Amazon OpenSearch Service as a vector database for its high-performance metrics. Each provisioned node was r7g.4xlarge,

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning Blog

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. AWS CodeBuild is a fully managed continuous integration service in the cloud.

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Detect hallucinations for RAG-based systems

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Prerequisites To use the methods presented in this post, you need an AWS account with access to Amazon SageMaker , Amazon Bedrock , and Amazon Simple Storage Service (Amazon S3). Statement: 'AWS is Amazon subsidiary that provides cloud computing services.' Finally, we compare approaches in terms of their performance and latency.

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Modernizing child support enforcement with IBM and AWS

IBM Journey to AI blog

Why IBM Consulting and AWS? IBM is a Premier Consulting Partner for AWS, with 19,000+ AWS certified professionals across the globe, 16 service validations and 15 AWS competencies—becoming the fastest Global GSI to secure more AWS competencies and certifications among Top-16 AWS Premier GSI’s within 18 months.

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