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Using Customer Feedback to Drive Company Growth with Michelle MacCarthy

ShepHyken

Anytime you digitize an experience or introduce new technology, ensure you have the basic tools your customers need to easily find what they need, like a good knowledge base on your website, FAQs, or video tutorials. Why is customer feedback important? How can customer feedback be used to improve service?

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5 Top Customer Service Articles of the Week 5-10-2021

ShepHyken

As a result, qualitative surveys, like Net Promoter Score, end up missing critically important feedback. 10 Ways Knowledge Base Can Improve Customer Experience by Sony T. Here are 10 ways Knowledge base software can improve customer experience.

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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. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

APIs 121
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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning

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).

APIs 111
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The 7 Best Knowledge Base Software + How to Choose One

Help Scout

Luckily, there’s a tool that addresses that very issue: knowledge base software. What is knowledge base software? Knowledge base software is a tool that allows you to create, store, organize, manage, and share self-service content with an audience. What are the different types of knowledge base software?

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Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

AWS Machine Learning

For instance, customer support, troubleshooting, and internal and external knowledge-based search. RAG is the process of optimizing the output of an LLM so it references an authoritative knowledge base outside of its training data sources before generating a response. Create a knowledge base that contains this book.

APIs 117
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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning

An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system. Solution overview The solution provides an automated end-to-end deployment of a RAG workflow using Knowledge Bases for Amazon Bedrock. Please share your feedback to us!

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