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

AWS Machine Learning - AI

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.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning - AI

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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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning - AI

This is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API. When summarizing healthcare texts, pre-trained LLMs do not always achieve optimal performance.

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How CIOs use AI to elevate CX services

CIO

The company’s customers can use an interface called expereoOne to analyze global network performance, and Elms is keen to bolster CX efforts further with AI. The firm is exploring Salesforce’s ServiceGPT and Einstein technologies, and they’re building a knowledge base on the provider’s Sales Cloud platform as well.

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Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG

CIO

Knowledge Graphs, by contrast, represent data as a network of nodes (entities) and edges (relationships). They can handle more complex, nuanced queries based on the types of connections, the nature of their nodes, structure, and properties. Vector DBs perform so well in these contexts because they can perform semantic searches.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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How Kentik Detect & nProbe Monitor Your Network Performance

Kentik

Network Performance Monitoring with Kentik Detect and nProbe. In the era of digital business, network performance is a critical aspect of keeping customers, subscribers, partners, and users happy. Most network teams have some type of tool that can collect and display this information. TCP is the key.

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