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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).

APIs 110
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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 115
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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. Context-aware meeting assistant – It uses Knowledge Bases for Amazon Bedrock to provide answers from your trusted sources, using the live transcript as context for fact-checking and follow-up questions.

APIs 94
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Unlocking Next-Level Customer Service with Gen AI Technology

CCNG

If you connect these tools to your knowledge base then you can enable the AI to cite sources of information provided in the generated text. Prior iterations of self-serve technology have been associated with decreased customer satisfaction, but LLMs have really changed the landscape. Thanks to our colleagues at Shelf.io

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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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The Knowledge Base is Dead, Long Live the Knowledge Base!

Nicereply

The knowledge base has been considered a crucial component of providing self-service for years. And now knowledge bases as we’ve always known them are dead. Customer demands are changing and customer service technology is improving. The traditional knowledge base is fading. ” Exactly.

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CHATGPT: ARE THERE OPERATIONAL PITFALLS IN THIS NEW TECHNOLOGY?

CCNG

As the contact center industry looks toward ChatGPT and other emerging technologies, the positive possibilities seem endless. Information from these new technologies, like ChatGPT, is dynamic. A knowledge management system is different than a knowledge base. It’s always changing.