Collections & Tags
Organize bookmarks with custom collections and AI-suggested tags for flexible, multi-layered categorization.
Arivu provides two complementary systems for organizing bookmarks: collections for project-level grouping and tags for cross-cutting labels.
Collections
Collections are named groups of bookmarks — think folders, playlists, or project boards.
Creating Collections
- Open the sidebar on the dashboard
- Click + New Collection under the Collections section
- Give it a name and optional description
- Drag bookmarks into the collection or use the bookmark’s action menu
Key Properties
- A bookmark can belong to multiple collections
- Collections appear in the sidebar for quick filtering
- Each collection has its own bookmark count
- Collections can be renamed or deleted without affecting bookmarks
Filtering by Collection
Click any collection in the sidebar to filter the dashboard to only those bookmarks. The active collection is highlighted. Click again or click “All Bookmarks” to clear the filter.
Tags
Tags are lightweight labels attached to bookmarks for flexible categorization.
Auto-Tagging
When you save a bookmark, Arivu’s AI analyzes the content and suggests relevant tags automatically. You can:
- Accept suggested tags as-is
- Remove tags that don’t fit
- Add your own custom tags
Managing Tags
- Tags appear on bookmark cards in the dashboard
- Click any tag to filter bookmarks by that tag
- The sidebar shows your most-used tags
- Tags are case-insensitive and deduplicated
Tag-Based Filtering
The sidebar displays tags sorted by frequency. Click a tag to filter. Multiple filters can be combined:
- Collection + Tag — Show bookmarks in “AI Research” tagged with “transformers”
- Tag + Search — Search within a specific tag category
Collections vs. Tags
| Feature | Collections | Tags |
|---|---|---|
| Purpose | Group by project or context | Label by topic or attribute |
| Structure | Named containers | Flat labels |
| Membership | Bookmark in many collections | Bookmark has many tags |
| AI-generated | No (manual) | Yes (auto-suggested) |
| Best for | “Work project”, “Read later” | “python”, “machine-learning” |
Use both together. A bookmark about a Python ML tutorial could be in the “Work Research” collection and tagged with python, machine-learning, and tutorial.
API Endpoints
| Method | Endpoint | Description |
|---|---|---|
GET |
/api/collections |
List all collections |
POST |
/api/collections |
Create a collection |
PUT |
/api/collections/{id} |
Update a collection |
DELETE |
/api/collections/{id} |
Delete a collection |
POST |
/api/collections/{id}/bookmarks |
Add bookmark to collection |
DELETE |
/api/collections/{id}/bookmarks/{bid} |
Remove bookmark from collection |