Remove Accountability Remove Knowledge Base Remove Personalization
article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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
article thumbnail

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account?

APIs 124
article thumbnail

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.

article thumbnail

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

APIs 127
article thumbnail

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 134