Foundry Agent Service Query Multiple Files in Seconds Without RAG

🔍 Build Real AI Agents That Search Multiple Files — No RAG Needed!
Learn how to create powerful AI agents using Foundry Agent Service that can search across multiple documents without relying on Retrieval-Augmented Generation (RAG). This tutorial walks you through building scalable, intelligent agents that leverage AI search, multi-file orchestration, and agentic workflows — all without the complexity of traditional RAG pipelines.
Whether you're a developer, researcher, or product builder, this video shows how to:
- Build real-world AI agents with Foundry Agent Service
- Search multiple files using AI-native orchestration
- Skip RAG and still get accurate, grounded results
- Use Microsoft Foundry, agent frameworks, and semantic search
- Optimize for multi-document retrieval, contextual search, and agent chaining

📁 Perfect for:
AI engineers • Foundry users • LangChain / AutoGen enthusiasts • Multi-modal agent builders
⏱️ TIMESTAMPS
0:00 — Intro
0:24 - How to create fil search agents using 2 different approches
0:46 - Using Azure portal
5:57 - Using Python code

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🤩 ............... LINKS ................
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Blog: www.shwetalodha.in
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📌 Keywords:
AI agent search, Foundry Agent Service, multi-file search, no RAG, semantic search, agent orchestration, Microsoft Foundry, build real agents, AI search tutorial, LangChain alternative, AutoGen, document search AI, agent chaining, contextual retrieval, scalable AI workflows

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#AIagents #FoundryAgentService #NoRAG #MultiFileSearch #SemanticSearch #MicrosoftFoundry #LangChain #AutoGen #AgentOrchestration #BuildRealAgents

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Видео Foundry Agent Service Query Multiple Files in Seconds Without RAG канала Shweta Lodha