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

ShepHyken

If you provide your target customers with a centralized web-based knowledge base of information, helping them find the solutions to their pain points on their own, without the hassle of phone calls to your contact center, you need to make sure they receive the best customer support within your knowledge base.

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Balancing Automation and Personalization

ShepHyken

For example, for whatever reason, they can’t reach their manager or peers, they can interact with the AI-enabled knowledge base and get the answers they need. Organizations need to focus on personalization and customer control in self-service experiences. They no longer compare us to other companies in our industry.

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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 118
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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 126
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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.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With a knowledge base, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Hybrid search can better handle such open-ended dialogs.

APIs 120
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Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to configure specialized agents that seamlessly run actions based on natural language input and your organization’s data. Knowledge Bases for Amazon Bedrock provides fully managed RAG to supply the agent with access to your data.

APIs 130