RAG development
RAG Systems & Internal Knowledge Assistants
Answers from your documents, cited, permission-aware, and measurable, for teams drowning in Confluence, Drive, and PDFs.
Tribal knowledge does not scale
New hires and support agents waste hours hunting answers. RAG puts approved knowledge behind a reliable assistant.
RAG & knowledge systems
Ingestion pipelines, retrieval, evaluation, and chat/voice interfaces.
- Document ingestion & chunking
- Hybrid search
- Citations and refusals
- Access control
- Internal AI assistants
Best for
Companies with substantial internal documentation and support content.
How we deliver
- 1
Discovery
We map workflows, systems, success metrics, and constraints before writing a line of automation.
- 2
Build
We implement workflows, agents, and integrations against your real stack, with testing and documentation.
- 3
Deploy
We ship to production with monitoring hooks, access controls, and a clear handoff.
- 4
Support
Optional retainers cover updates, new workflows, and reliability as your tools evolve.
Related case studies
FAQ
Do you fine-tune models or use RAG?
Most business knowledge problems are better solved with RAG first. We fine-tune only when there is a clear, measured need.