Metis · Librarian — Propose Library Organization
propose_library_organizationClusters papers by topic using abstracts and titles, then proposes an organized collection structure with suggested names and paper counts.
Instructions
Cluster papers by topic and propose an AI-generated collection structure.
Uses abstracts and titles to embed papers, then clusters them with k-means.
Returns a proposed collection structure with suggested names and paper counts.
Args:
n_clusters: Number of topic clusters. 0 = auto-detect (sqrt of library size).
min_papers: Minimum papers per cluster to report (default 3).
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| min_papers | No | ||
| n_clusters | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |