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Elevate RAG for numerical analysis using Amazon Bedrock Knowledge Bases

AWS Machine Learning - AI

Amazon Bedrock Knowledge Bases is a fully managed capability that helps you implement the entire RAG workflow—from ingestion to retrieval and prompt augmentation—without having to build custom integrations to data sources and manage data flows. Latest innovations in Amazon Bedrock Knowledge Base provide a resolution to this issue.

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What’s the Difference Between a Help Desk and a Service Desk?

Ivanti

Knowledge management Limited knowledge base. Robust knowledge base and self-service options. Metrics and reporting Basic reporting on tickets resolved. Metrics and reporting Basic reporting on tickets resolved. User self-service through knowledge base and portal. password resets).

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

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework.

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Vitech uses Amazon Bedrock to revolutionize information access with AI-powered chatbot

AWS Machine Learning - AI

Retrieval Augmented Generation vs. fine tuning Traditional LLMs don’t have an understanding of Vitech’s processes and flow, making it imperative to augment the power of LLMs with Vitech’s knowledge base. Additionally, Vitech uses Amazon Bedrock runtime metrics to measure latency, performance, and number of tokens. “We

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Building Gen AI applications for business growth – actions behind the scenes

Capgemini

Typical metrics for business growth are revenue increase and healthy profitability. In the scale-out phase, a cloud-based solution approach is often superior and should be duly considered. Productivity, innovation, and time-to-market are the key enablers of business growth.

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The Six Pillars of Effective Security Operations

Palo Alto Networks

To help with this evaluation, we’ve condensed the considerations that go into building efficient and scalable security operations into six fundamental pillars. Metrics: How will we know it is working effectively? What knowledge base information needs to be accessed? Staffing: Who do we need to do this? Technology.

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The importance of software documentation tools

Apiumhub

This is where Confluence comes for creating summaries, synopses, reports, dashboards, progress updates or code metrics. Your team will be able to create and organize knowledge base articles thanks to a blueprint that contains templates for how-to and troubleshooting articles. Almost-infinit” scalability. Knowledgebase.