Retrieval-Augmented Generation
RAG
A retrieval layer that connects your language models to your own knowledge base, so every answer is grounded in your documents, cited, and kept current as your content changes.
- Answers grounded in your own documents
- Source citations for every response
- Continuous indexing as content changes
- Enterprise-grade access controls on sources
Hosting
Size
Deployment
We run it, you use it
Hosted on your infrastructure or ours and fully operated by our team — updates, monitoring, and scaling handled for you.
Scale
Up to 20 users
Right-sized for small teams and pilots — quick to roll out with modest resource requirements.