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RAG at Scale - Production Ready GenAI Apps with Azure AI Search

AI Engineer via YouTube

Overview

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Learn how to build production-ready generative AI applications using Azure AI Search's advanced RAG (Retrieval-Augmented Generation) capabilities in this 22-minute conference talk. Discover the latest product updates that enable scaling GenAI applications without compromising cost or performance, including increased storage limits, enhanced retrieval pipeline control, built-in support for non-text content, and improved re-ranking features for higher quality responses. Explore practical demonstrations of how Azure AI Search combines cutting-edge RAG technologies to support enterprise-scale deployments. Gain insights from Pablo, a Distinguished Engineer at Microsoft and general manager of Azure AI Search, who shares his expertise on knowledge retrieval systems and the evolution from GenAI prototypes to production applications. Understand the technical considerations and architectural decisions necessary for implementing robust information retrieval systems that power modern generative AI solutions.

Syllabus

RAG at scale: production ready GenAI apps with Azure AI Search

Taught by

AI Engineer

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