Remove Customer Support Remove Knowledge Base Remove Personalization
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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.

APIs 129
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Balancing Automation and Personalization

ShepHyken

The lockdown has changed our customers’ perspective on how they want to spend their time. Customers want to be more self-sufficient and spend less time interacting with customer support if they can get answers faster on their own. How do customers want to control their self-service experience?

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Dive deep into vector data stores using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes. In this post, we dive deep into the vector database options available as part of Amazon Bedrock Knowledge Bases and the applicable use cases, and look at working code examples.

APIs 102
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Guest Blog: Why Knowledge Base Integration with Live Chat Is Important for Better Customer Support

ShepHyken

This week on our Friends on Friday guest blog post my colleague, Jason Grills, writes about the importance of good customer support and the impact it can have on your business. Customer support agents must understand just how important their roles and responsibilities are to the customer experience. Shep Hyken.

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Knowledge Base for Customer Support: Why Do You Need It?

TeleDirect

Having a comprehensive knowledge base is not just for tech companies. Regardless of what industry you’re in, you can improve your customer service and public image by offering your staff and customers a comprehensive knowledge base. What Is a Knowledge Base? More Efficient Employees.

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

AWS Machine Learning

They can enhance operational efficiency, customer service, and decision-making while reducing costs and enabling innovation. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation.

APIs 139
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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

APIs 128