RAG Testing Services
We measure whether your retrieval-augmented system actually answers from your data — faithfulness, retrieval quality and hallucination — with graded golden sets, not vibes.
- 01
Faithfulness & grounding
Scored checks that answers are supported by the retrieved context, so the system stops confidently making things up.
- 02
Retrieval quality
Precision and recall over your corpus — are the right chunks retrieved for the question, or is the model flying blind?
- 03
Golden sets in CI
A graded evaluation set that runs on every index, prompt or model change, so a quiet regression can't ship.
RAG testing, answered
How do you measure a RAG system?
Faithfulness, answer relevance and retrieval precision/recall, graded on a golden set built from your real questions and documents.
Our RAG hallucinates. Can you help?
Yes — we quantify where and why it happens (retrieval vs. generation), then fix and add coverage so it doesn't come back.
Do you work on RAG you didn't build?
Most of our testing work is on systems built by others. We plug in, measure, and hand back a suite you keep.
Ship the next release without holding your breath.
Tell us what you're building — or what's breaking. We reply within one business day with a concrete plan, not a sales deck.