ANI is a multi-tenant, enterprise-grade generative AI search platform built on Azure with a sophisticated layered architecture spanning clients, edge security, identity federation, microservices, LLM orchestration, and 25+ data connectors. Clients access the platform via web browser, admin dashboard, Slack/Discord bots, or API; requests flow through Azure Front Door with WAF and DDoS protection, then authenticate via Keycloak and Azure Entra ID before reaching Next.js 15 frontend and FastAPI backend services. The platform unifies multiple LLM providers (OpenAI, Azure OpenAI, Gemini, Claude, Ollama) through LiteLLM Gateway with token management and fallback routing, while Celery workers asynchronously index documents from SharePoint, Google Drive, GitHub, Jira, Slack, email, and REST APIs into PostgreSQL with pgvector embeddings and Neo4j knowledge graphs. This architecture demonstrates enterprise best practices for multi-tenancy, security, observability, and AI integration at scale. Fork and customize this diagram on Diagrams.so to adapt the layered design for your own AI search or RAG platform needs.