Azure RAG Enterprise Data Pipeline — AZURE architecture diagram

About This Architecture

Enterprise RAG data pipeline on Azure integrating Microsoft Entra ID authentication, App Gateway WAF, and API Management with a RAG Orchestrator that enforces guardrails and authorization. Data flows through Azure AI Search for hybrid/vector/semantic retrieval and Azure OpenAI for LLM embeddings, backed by a three-tier ADLS Gen2 data lake (raw, curated, enterprise zones). Ingestion combines batch orchestration via Azure Data Factory from SharePoint and file shares with streaming event processing via Azure Functions and Event Grid from databases using CDC. This architecture demonstrates secure, scalable enterprise AI with fine-grained access control, data governance, and production-grade prompt orchestration. Fork and customize this diagram on Diagrams.so to adapt ingestion sources, add additional AI services, or modify data lake zones for your organization's RAG requirements.

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How do I build a production-ready RAG pipeline on Azure with secure authentication, data governance, and AI orchestration?

This diagram shows a complete enterprise RAG architecture on Azure: users authenticate via Microsoft Entra ID with MFA and conditional access, traffic flows through App Gateway WAF and API Management, then reaches a RAG Orchestrator that enforces guardrails and authorization before querying Azure AI Search and Azure OpenAI. Data ingestion combines Azure Data Factory batch jobs from SharePoint and

Azure RAG Enterprise Data Pipeline

AzureadvancedRAGAI pipelinedata lakeADLS Gen2Azure OpenAI
Domain: Cloud AzureAudience: Azure solutions architects designing enterprise RAG and AI pipelines
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Created by

August 18, 2026

Updated

September 27, 2026 at 4:43 AM

Type

data pipeline

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