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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?

Feedback 323
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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

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Why Your Search Bar Isn’t Enough: The Real Difference Between a KnowledgeBase and a Knowledge Management System

CCNG

Its a common misconception – those tools may store information, but they fall short in delivering the right answers, actionable processes, and feedback loops for multi-channel support for both employees and customer self-service. Feedback Loops for Continuous Improvement: Missing details? Whats the Confusion? Lets clear it up.

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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 137
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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 126
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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 134