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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. If you want more control, Knowledge Bases lets you control the chunking strategy through a set of preconfigured options.

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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). Prerequisites To follow along with these examples, you need to have an existing knowledge base. Select the knowledge base you created.

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The SaaS Guide to Customer Engagement, 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. 25 real examples of how companies have used these techniques to drive renewals, upsells, and cross-sells.

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4 Easy Steps for Building an Internal Knowledge Base

Comm100

For your company to thrive, your departments and the teams that comprise them must be on the same page at all times. For customer service, that means collecting, centralizing, and sorting important information into a well-crafted internal knowledge base. Choose your knowledge base type. Gather your content.

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5 Strategies to Gain VoC Insights from Knowledge Base

SurveySensum

Their insights revealed a surge in “workout plans” and “nutrition tips” queries on their knowledge base. It helped the company enhance overall satisfaction and create a more personalized and efficient fitness experience. Content related to these topics was enriched, providing in-depth guidance and tips.

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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.