Organize tags, suggest merges, enforce consistency, and calculate relevance across your knowledge base.
Keep your taxonomy clean and your knowledge findable.
As your knowledge base grows, maintaining a clean and consistent tag system becomes challenging. Librarian continuously monitors and optimizes your taxonomy.
Identifies tags that are essentially the same: "machine-learning" vs "ml" vs "machinelearning". Suggests merges.
Proposes parent/child relationships: "python" should be under "programming-languages".
Calculates how relevant each entry is over time. Factors in recency, access frequency, and connections.
Finds tags used only once or entries with no tags. Suggests organization improvements.
Librarian provides a dashboard showing the health of your taxonomy.
ai
+
artificial-intelligence
react
under
javascript
Automatically merge tags with >95% semantic similarity
Convert "Machine Learning" to "machine-learning"
Email summary of taxonomy changes and suggestions
Librarian is planned for post-MVP release. Keep your knowledge base organized automatically.