// Generated by orrery. Edit the diagram spec and re-render instead of editing this file. import { type SVGProps, useId } from "react"; export default function RetrievalAugmentedGenerationOnAzure(props: SVGProps) { const uid = useId().replace(/[^A-Za-z0-9_-]/g, ""); return ( Retrieval augmented generation on Azure Retrieval augmented generation on Azure. 14 components in 7 groups. Connections: Users to Microsoft Entra ID; Users to Application Gateway (HTTPS); Application Gateway to Private endpoint; Private endpoint to Key Vault (TLS certificate); Application Gateway to Container Apps (HTTPS); Container Apps to Private endpoint; Container Apps to Private endpoint; Private endpoint to Azure OpenAI (prompt with top results); Private endpoint to Azure AI Search (hybrid query); Azure AI Search to Azure OpenAI (vectorize query); Blob Storage to AI Search indexer (pull documents); AI Search indexer to Azure AI Search (index chunks); AI Search indexer to Azure OpenAI (embed chunks); Container Apps to Application Insights. RETRIEVAL AUGMENTED GENERATION ON AZURE A chat app grounds Azure OpenAI answers in an Azure AI Search index that an indexer fills from Blob Storage HTTPS HTTPS TLS CERTIFICATE HTTPS HTTPS PROMPT WITH TOP RESULTS HYBRID QUERY HYBRID QUERY VECTORIZE QUERY VECTORIZE QUERY PULL DOCUMENTS INDEX CHUNKS EMBED CHUNKS WORKLOAD SUBSCRIPTION RG-CHAT-PROD VNET-CHAT INGESTION SNET-APPGATEWAY SNET-APPS SNET-PE USERS MICROSOFT ENTRA ID Sign-in and managed identities KEY VAULT TLS certificate APPLICATION GATEWAY WAF and TLS termination CONTAINER APPS Chat UI and orchestrator PRIVATE ENDPOINT Key Vault PRIVATE ENDPOINT Azure OpenAI PRIVATE ENDPOINT Azure AI Search BLOB STORAGE Source documents AI SEARCH INDEXER Chunk and embed skillset APPLICATION INSIGHTS Log Analytics workspace AZURE OPENAI Chat deployment AZURE AI SEARCH Vector and keyword index AZURE OPENAI Embedding deployment REQUESTS AND DATA SIGN-IN TELEMETRY ); }