Business problem
Businesses needed a way to search and chat with their own documents without building a full AI platform from scratch.
Architecture approach
The design covered tenant isolation, document ingestion, embeddings, vector search, chat history, citations, and embeddable widget architecture.
Outcome
The result was a reusable SaaS foundation for customer support, internal knowledge, and document search use cases.
Key decisions
The architecture focused on reducing operational risk, improving maintainability, and creating a clearer path for future delivery.
Technology used
Azure OpenAI, Azure AI Search, React, Embeddings, SQL
What I would improve next
The next step would be deeper automation, stronger observability, and more measurable architecture governance.