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Introducing guardrails in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, 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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Building a Customer-Centric Knowledge Base

GetFeedback

Most customers would rather solve problems themselves than go through the hassle of contacting customer service. According to Forrester Research , 91% of customers surveyed would use a knowledge base if it were customized to their needs. 8 Tips on Knowledge Base Creation.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock allows you to build performant and customized Retrieval Augmented Generation (RAG) applications on top of AWS and third-party vector stores using both AWS and third-party models.

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The SaaS Guide to Customer Engagement, Retention, and Advocacy

Want to lead customers down the path to retention and advocacy? After onboarding, most SaaS customers have to find their own way to success—with little more than a few CSM calls (if they’re a large enough account to have one), and a knowledge base to get them there.

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Help and Knowledge Base Feedback: Improving CX & Support Efficiency

Zonka Feedback

All this could have been avoided with a well-prepared knowledge base, refined through user feedback. This scenario highlights the critical role of help and knowledge base feedback. In a world where customer expectations are sky-high, ensuring your knowledge base is up to the task isn’t just important—it’s essential.

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Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Amazon Lex provides the built-in generative AI feature QnAIntent, which can be directly attached to a knowledge base to fulfill user requests.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Leadership Panel: Lessons Learnt from a Global Support Community

Speaker: Panel hosted by Adrian Speyer, Head of Community, Vanilla Forums

How do you encourage your customers to help others? Join us to learn: How to integrate your knowledge base (and KCS) with your community. Are you struggling to support your global community? Or, are you not even sure where you should start. Establishing a global support community comes with many many questions.