Build Next Level RAG on Azure | Building Knowledge Bases with Azure AI Search | Tech Edge AI

Description

In this video, we break down Next-Level RAG on Azure based on the article “Next-Level RAG on Azure: Building Knowledge Bases with Azure AI Search and Foundry.” You’ll learn how to design production-grade Retrieval-Augmented Generation (RAG) systems using hybrid search, reranking, and agentic retrieval with Azure AI Search and Foundry IQ. We cover: 🔹 Hybrid Search (BM25 + Vector Search + RRF + Cross-Encoder Reranking) 🔹 Agentic Retrieval with Knowledge Bases 🔹 Indexed vs Remote Knowledge Sources (Blob, OneLake, SharePoint, Web) 🔹 Minimal, Low, and Medium Reasoning Effort Modes 🔹 Multi-step and chained query handling 🔹 Integrating Knowledge Bases into Azure AI Foundry Agents 🔹 Building secure, enterprise-ready AI apps If you're building AI agents, enterprise chatbots, or advanced RAG pipelines on Azure, this guide will help you move from demo-level RAG to a scalable, secure knowledge layer. Stop wiring RAG by hand — build a managed agentic retrieval engine instead. Like 👍, Share 🔁, and Subscribe 🔔 for more deep dives into AI architecture, Azure AI Search, and next-gen agent systems. #AzureAI #RAG #AzureAISearch #AIEngineering #GenerativeAI #HybridSearch #AIArchitecture #AzureOpenAI #AIAgents #MicrosoftFoundry #AgenticAI #LLM #EnterpriseAI