RAG & Knowledge Systems
Answers grounded in your knowledge — with citations.
We build retrieval-augmented assistants that answer from your own documents and data, with citations users can verify. This keeps responses accurate and trustworthy instead of relying on the model's general knowledge.
What we build
- Retrieval pipelines over your wikis, docs, and policies
- Assistants that cite their sources for every answer
- Secure handling of sensitive and internal content
- Evaluation to measure answer accuracy and coverage
How we work
- Index your knowledge with quality retrieval, not just embeddings
- Require citations so answers are verifiable
- Measure accuracy and close gaps iteratively
Ideal for
- Teams with large internal knowledge bases
- Support, HR, and compliance use cases
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