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Automate Q&A email responses with Amazon Bedrock Knowledge Bases

AWS Machine Learning

The combination of retrieval augmented generation (RAG) and knowledge bases enhances automated response accuracy. The combination of retrieval-based and generation-based models in RAG allows for accessing databases and generating accurate and contextually relevant responses.

APIs 61
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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 127
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Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

APIs 120
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10 Best Knowledge Base Solutions for Customer Service

CSM Magazine

A robust knowledge base can empower your customers to find solutions on their own, reducing support requests and enhancing overall user experience. Here are ten of the best knowledge base software solutions designed to elevate your customer service: 1.

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Leadership Panel: Lessons Learnt from a Global Support Community

Speaker: Panel hosted by Adrian Speyer, Head of Community, Vanilla Forums

Join us to learn: How to integrate your knowledge base (and KCS) with your community. Vanilla’s Head of Community, Adrian Speyer leads the panel to uncover and discuss their common initiatives and their individual journeys to success. How to establish a successful ambassador program.

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Is it Time to Dump Your Outdated Knowledge Base?

Vistio

Yet, many contact centers are still clinging to their outdated knowledge bases like travelers refusing to give up paper maps in a world of GPS. Traditional knowledge bases are holding your team back. Why Knowledge Bases Fail Agents Agents today need answers in seconds, not minutes. The short answer is no.

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Implement web crawling in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock enables you to aggregate data sources into a repository of information. With knowledge bases, you can effortlessly build an application that takes advantage of RAG. By integrating web crawlers into the knowledge base, you can gather and utilize this web data efficiently.

APIs 112
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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.