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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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Customer Service Knowledge Base: The Definition and Lifehacks for Building One

HelpCrunch

The life of a customer service representative isn’t always cakes and ale. In fact, this [ … ] The post Customer Service Knowledge Base: The Definition and Lifehacks for Building One appeared first on HelpCrunch blog.

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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. You can simply connect QnAIntent to company knowledge sources and the bot can immediately handle questions using the allowed content. Choose Create knowledge base.

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Knowledge Base SEO: 5 Easy Ways to Optimize Your Knowledge Base Articles

HelpCrunch

Did you know that 89% of customers are more likely to make another purchase if they have a positive customer service experience on your website? However, delivering excellent customer service that nets more sales and [ … ].

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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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Live Chat Knowledge Base: An Ingredient to Improve Your Customer Service

Nicereply

Do you know 70% of customers have already decided to support a company that delivers great customer service? Every brand aspires to create an impact in its customers’ lives. The first step is always to value your customers’ time and preferences. Being proactive in understanding your customers.

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The Tribal Knowledge Base – Sharing the Wisdom in Customer Service

TechSee

Their knowledge is, by definition, unstructured and can be imprecise. Creating a written knowledge base: setting up a repository of documents, such as formal intellectual property, informal best practices, and employee-contributed “tribal knowledge” is a good way to ensure new hires have access to important information and training materials.