A multi-tenant documentation & troubleshooting assistant
An enterprise assistant with retrieval-augmented answers, built for multi-tenant usage with scalable retrieval and persona / access patterns.
Challenge
Enterprise documentation is large, fragmented, and access-controlled. Users want a direct answer with a source — not a search results page. Doing this across many tenants raises the stakes: answers must respect each tenant’s data boundaries and personas, and retrieval has to stay fast and grounded as the corpus grows.
Approach
We built a multi-tenant assistant on a retrieval-augmented architecture using LangGraph and LangChain, the OpenAI API, FastAPI, and TypeScript. Retrieval is the heart of the system: scalable indexing per tenant, persona and access patterns enforced where the data is fetched, and grounded answers that cite their sources.
System design
- Retrieval-augmented generation with per-tenant indexing
- Persona and access controls enforced inside the retrieval layer
- LangGraph / LangChain orchestration over the OpenAI API
- FastAPI + TypeScript service surface for product integration
What we delivered
- A multi-tenant assistant for documentation and troubleshooting
- Scalable retrieval with grounded, source-backed answers
- Access and persona patterns suited to enterprise usage
- An integration surface the product team could build on
Why it mattered
A knowledge assistant is only useful if it’s trustworthy and safe across tenants. By engineering retrieval, grounding, and access together, the assistant gives users direct, sourced answers — without leaking data or eroding confidence.
More production systems.
Enterprise knowledge
Hybrid semantic retrieval where precision and recall both matter
Semantic and hybrid search combining keyword precision with semantic recall — designed to be tuned and observed, so retrieval quality is something you can measure.
Enterprise software & R&D
An agent that turns a business scope into a deployed service
A production R&D system that takes a business scope and produces a deployed backend — generating agent graphs, tool configs, and an integration-ready API surface.
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