Live Technical Webinar
An AI agent's answers are shaped by the data it has access to — and how effectively it can retrieve it. In this session, we walk through Azure AI Search's full retrieval stack and how each layer contributes to the accuracy and relevance of an agent's answers.
Live
WEBINAR
June
4
Time
1:00 PM ET / 7:00 PM CET
Online Webinar
1:00 PM EST (10:00 AM PST / 7:00 PM CET)
See production-ready guardrail architectures in action. Watch live code, compare vendor approaches and leave with frameworks you can apply immediately.
Software architects · Developers · AI/ML engineers · Data engineers building or evaluating AI agent systems on the Azure stack
The retrieval stack — how an agent indexes content, searches across it and ranks results — is what determines whether outputs are grounded, relevant and traceable to the underlying source data.
In this session, Admir Sahbaz walks through the full Azure AI Search retrieval stack: from data ingestion pipelines and integrated vectorization through hybrid search, semantic re-ranking, query rewriting and agentic retrieval. By the end, you’ll have a clear picture of how these components work together in Azure AI Search to deliver high-relevance grounding for AI agents.
Principal, Authority Partners
Admir Sahbaz is a software architect with over 10 years of experience building enterprise-grade software solutions end to end, from architecture and design to implementation and deployment. He has extensive experience within the Microsoft ecosystem, specializing in .NET and Azure, and has successfully applied these technologies across a wide range of client engagements. Admir is enthusiastic about architecture, cloud and DevOps, and enjoys staying hands-on while supporting teams in building high-quality solutions.
Authority Partners is a global technology strategy consulting and custom software development company with over 28 years of experience delivering enterprise-grade solutions.
1:00 PM EST (10:00 AM PST / 7:00 PM CET)
This is a free, live session. All registrants receive the full recording after the event.
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