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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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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
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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

AWS Machine Learning

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. In this post, we discuss using metadata filters with Amazon Bedrock Knowledge Bases. For instructions, see Create an Amazon Bedrock knowledge base.

APIs 87
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68 Customer Support Email Address Name Ideas

CX Accelerator

Written by Jenny Dempsey, 5.25.2022 You don’t actually want to contact customer support. You can’t find the answer in the knowledge base on the company website, instruction book or the FAQs. 68 Customer Support Email Address Name Ideas. customers@ (Contributed by: , @goodgovCX ).

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Guest Post: How to Boost Customer Support Employee Productivity for Better CX

ShepHyken

If employees are happy and look up to their workplace with regard and respect, it will be reflected in their interactions with customers.?? . Boosting the customer support employee productivity . The customer support employees are under constant pressure to deliver on time. Dealing with customers is not easy.

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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 131
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Making Your Company AI-Ready with Simon Kriss

ShepHyken

What is the impact of AI on customer service jobs? How can customer support roles evolve with AI? How can companies ensure their data is ready and accessible for AI to enhance customer experience? As AI continues to evolve, it will change how customers interact with brands. they will not deliver what you want.