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.
Problem and challenges
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.
Solution
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
Outcome
- 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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