Open-source terminology control plane for search and RAG.
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SkeinRank helps teams turn messy aliases, internal jargon, and domain-specific terminology into governed runtime context for enterprise search, Elasticsearch enrichment, RAG, and knowledge workflows.
Instead of treating terms like k8s, kube, postgres, pg, or internal project aliases as loose text, SkeinRank lets teams normalize them into canonical concepts, review evidence, publish snapshots, and serve stable context to downstream search and AI systems.
- Terminology governance for canonical terms, aliases, profiles, bindings, and snapshots.
- Search enrichment workflows for technical documents, incidents, runbooks, and enterprise knowledge bases.
- Runtime context APIs that help search, RAG, and agent systems use governed terminology safely.
- Evidence-assisted review so teams can validate terminology changes against real indexed content.
| Repository | Purpose |
|---|---|
SkeinRank/skeinrank |
Main monorepo with the core library, governance API, UI, Elasticsearch workflows, Docker Compose stack, and documentation. |
SkeinRank is in active public preview. The current focus is on the terminology control plane, Docker Compose deployment path, governance console, Elasticsearch evidence workflows, and search/RAG integration surfaces.
For the product overview and docs, start at skeinrank.github.io.