KnowledgeLoop
RAG you can measure — not just demo.
Citation-backed answers over your docs, with confidence gating and a reproducible evaluation harness.
Ask with citations
Retrieve from your Markdown and PDF docs, answer with sources, refuse when unsure.
Public demo
No account required — chat against the Northstar Runbooks seed corpus.
Measurable quality
Hit-rate, latency, and refusal metrics on the case study.
How it works
- Ingest — Upload Markdown or PDF; chunk and embed with OpenAI.
- Retrieve — Search an on-disk Chroma index for the top-k passages.
- Answer — Generate with citations; low confidence becomes an explicit refusal.
- Evaluate — Re-run a fixed golden set and publish metrics.