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Evaluating RAG applications with Amazon Bedrock knowledge base evaluation

AWS Machine Learning - AI

Amazon Bedrock has recently launched two new capabilities to address these evaluation challenges: LLM-as-a-judge (LLMaaJ) under Amazon Bedrock Evaluations and a brand new RAG evaluation tool for Amazon Bedrock Knowledge Bases.

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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning - AI

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

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Improving Retrieval Augmented Generation accuracy with GraphRAG

AWS Machine Learning - AI

Lettria , an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. Using AWS and Lettria for enhanced RAG applications In this section, we discuss how you can use AWS and Lettria for enhanced RAG applications.

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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning - AI

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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Unify structured data in Amazon Aurora and unstructured data in Amazon S3 for insights using Amazon Q

AWS Machine Learning - AI

In this post, we explore how you can use Amazon Q Business , the AWS generative AI-powered assistant, to build a centralized knowledge base for your organization, unifying structured and unstructured datasets from different sources to accelerate decision-making and drive productivity.

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Boosting team innovation, productivity, and knowledge sharing with Amazon Q Business – Web experience

AWS Machine Learning - AI

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Enterprises provide their developers, engineers, and architects with a range of knowledge bases and documents, such as usage guides, wikis, and tools.

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Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation

AWS Machine Learning - AI

The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure. The CCoE implemented AWS Organizations across a substantial number of business units. About the Authors Steven Craig is a Sr. Director, Cloud Center of Excellence.