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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. Improving document retrieval results helps personalize the responses generated for each user. For instructions, see Create an Amazon Bedrock knowledge base.

APIs 87
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Why Your Search Bar Isn’t Enough: The Real Difference Between a KnowledgeBase and a Knowledge Management System

CCNG

A knowledge base is essentially a storage system – whether its a stack of notebooks, a shared drive, or a database with a search bar. Some KMS can be integrated with a CRM and other software platforms Analytics and Insights: Basic knowledge bases may track how often something is accessed, KMS platforms go further.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. Furthermore, it might contain sensitive data or personally identifiable information (PII) requiring redaction. This solution uses the powerful capabilities of Amazon Q Business.

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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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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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Redefining the Contact Center with Jonathan Rosenberg

ShepHyken

This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    How can companies effectively balance customer self-service with personal interactions in high-stakes situations? How does AI contribute to transforming contact center agents into brand ambassadors?

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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