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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. The function checks the semantic cache (Amazon Bedrock Knowledge Bases) using the Retrieve API.

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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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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 133
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Implement web crawling in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock enables you to aggregate data sources into a repository of information. With knowledge bases, you can effortlessly build an application that takes advantage of RAG. By integrating web crawlers into the knowledge base, you can gather and utilize this web data efficiently.

APIs 114
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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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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 133
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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 136