rag

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    Azure OpenAI: Enterprise-Grade Generative AI with Compliance and Control

    Microsoft’s Azure OpenAI offering is changing the calculus for enterprises that want cutting‑edge generative AI without the legal, security, and operational headaches that have historically kept the technology in research labs. The service packages OpenAI’s top models inside Azure’s...
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    BenchmarkQED: The Ultimate Open-Source Benchmarking Suite for Retrieval-Augmented Generation Systems

    Retrieval-augmented generation, commonly abbreviated as RAG, has become an indispensable paradigm in the landscape of generative artificial intelligence, especially as enterprises and researchers increasingly seek precise answers over their proprietary data. Yet, the rapid evolution of RAG...
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    Microsoft Agentic Retrieval for Azure AI Search: The Future of Smarter Enterprise Conversational AI

    Microsoft’s announcement of agentic retrieval for Azure AI Search signifies a landmark transition for enterprise conversational AI, promising to redefine how intelligent systems access, interpret, and utilize knowledge at scale. Where traditional retrieval-augmented generation (RAG) pipelines...
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    Microsoft AKS Updates: RAG, vLLM, and GPU Customization for Enhanced AI Performance

    Microsoft’s latest announcement at KubeCon has sent ripples through the cloud and AI communities, particularly among developers working on Azure Kubernetes Service (AKS) clusters. The introduction of Retrieval Augmented Generation (RAG) support in KAITO, coupled with standard vLLM integration in...
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