A document-QA backend where every tenant's data is walled off from every other tenant's — the first question any firm asks before handing over their files.
Most RAG demos assume one customer and one pile of documents. The moment a second tenant arrives, retrieval has to prove it can never reach across the boundary — and 'we filter the results' is not an answer a law firm will accept.
A FastAPI service where the tenant identity travels in a signed JWT and is resolved by middleware on every single request. Uploaded PDFs are parsed, chunked, embedded, and written into a vector collection scoped to that tenant; the chat endpoint can only ever query within the caller's own collection. Isolation is a property of the storage layout, not a filter applied afterwards.
That per-tenant retrieval isolation, document ingestion, and a chat interface can sit behind one small, readable service — and that the pattern transfers directly to a firm that wants its own matters kept apart from everyone else's.
Losing hours to work an AI system could handle?
Tell me about the process. I'll tell you straight whether it's worth automating — no pitch, no obligation.
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