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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

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 using a fully managed Retrieval Augmented Generation (RAG) model.

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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).

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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.

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Knowledge Bases for Amazon Bedrock now supports custom prompts for the RetrieveAndGenerate API and configuration of the maximum number of retrieved results

AWS Machine Learning

With Knowledge Bases for Amazon Bedrock , you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for Retrieval Augmented Generation (RAG). This allows you to customize the tone, output format, and behavior of the FM when it responds to a user’s question. Select the knowledge base you created.

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The SaaS Guide to Customer Engagement, Retention, and Advocacy

Want to lead customers down the path to retention and advocacy? After onboarding, most SaaS customers have to find their own way to success—with little more than a few CSM calls (if they’re a large enough account to have one), and a knowledge base to get them there.

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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

In this post, we show you how to use LMA with Amazon Transcribe , Amazon Bedrock , and Knowledge Bases for Amazon Bedrock. You can teach it brand names and domain-specific terminology if needed, using custom vocabulary and custom language model features in Amazon Transcribe. You can customize these prompts as well.

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Building a Customer-Centric Knowledge Base

GetFeedback

Most customers would rather solve problems themselves than go through the hassle of contacting customer service. According to Forrester Research , 91% of customers surveyed would use a knowledge base if it were customized to their needs. 8 Tips on Knowledge Base Creation.

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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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Leadership Panel: Lessons Learnt from a Global Support Community

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

How do you encourage your customers to help others? Join us to learn: How to integrate your knowledge base (and KCS) with your community. Are you struggling to support your global community? Or, are you not even sure where you should start. Establishing a global support community comes with many many questions.