RAG for Manufacturing: Grounding LLMs in Technical Docs
Generic LLM copilots are a liability in manufacturing. Technicians need answers that cite the exact procedure, not plausible-sounding text. Retrieval-augmented generation grounded in Azure AI Search solves this when architected correctly. This is the pattern that holds up under service-bay pressure.
SQL Server 2025 Vector Search for Hybrid RAG: A Benchmark
A practical comparison of SQL Server 2025 vector search against Azure AI Search and pgvector for hybrid RAG — when collocating vectors with your transactional data is the right call, and when a dedicated search layer still wins.
Agentic RAG Patterns That Beat Classic Retrieval
Classic RAG hits a ceiling when questions require multi-hop reasoning or query refinement. Agentic RAG — treating retrieval as a tool, decomposing queries, adding self-correction loops — routinely wins where classic RAG plateaus.
Foundry IQ: The Knowledge Layer for Agents - Microsoft Ignite 2025
Agents need context. Discover Foundry IQ—the knowledge layer connecting AI agents to enterprise data with multi-source RAG orchestration, retrieval steering, dynamic security controls, and agentic RAG delivering 36% higher accuracy than traditional search.
Building Knowledge-Powered Agents with Azure AI Search: RAG, Hybrid Search, and Agentic Retrieval - Microsoft Ignite 2025
Microsoft Ignite BRK193: Build agents with Azure AI Search knowledge features. Connect to SharePoint, web, blob. Hybrid search (keyword+vector+semantic), agentic retrieval with query planning, reasoning effort modes, Foundry IQ with MCP protocol. Code-focused implementation guide.