RAG
Retrieval-augmented generation lets a model answer from a customer’s own data. I keep retrieval tenant-aware, so one customer’s documents never reach another customer’s answers.
What I do with RAG
- Chunking and embedding pipelines
- Retrieval scoped to the tenant
- Answers that point back to their source
Projects that use it
No project write-up on this site names RAG yet.
Need RAG done properly?
Send me your prototype’s link. I read every message the same day, then we talk for twenty minutes about what breaks first.