Search & Tagging System
As your documents, notes, drawings, and mind maps grow, efficient search becomes essential. Pop includes a powerful retrieval system that supports file search, full‑text search, type filters, time filters, and a structured tagging system planned for future releases.
This chapter covers all search‑related capabilities and demonstrates how to use filters and tags to build a scalable personal knowledge base.
🔍 1. File Search
File search is ideal for quickly locating items by name, such as filenames and folder names.
1.1 Searchable Scope
You can search:
- Document names (PDF, Word, Markdown)
- Note names
- Drawing & mind map file names
- Folder names
- Favorites
All matching results appear instantly, making it easy to locate files.
1.2 Search Suggestions
When typing in the search bar, Pop suggests:
- Recently opened / recently edited files
- Name‑similar files
- Similar or matching folders
This significantly speeds up navigation.
📄 2. Full‑text Search
Full‑text search is Pop’s core retrieval engine. It builds text indices to allow deep content search inside documents.
2.1 Supported File Types
| Format | Indexing Details |
|---|---|
| Extracts text layer and indexes fully | |
| Word (.docx) | Extracts paragraph text |
| Markdown | Parsed as plain text and indexed |
| Rich‑text (HTML) | Converted to plain text for indexing |
| Mind maps / drawings | Planned for future support |
2.2 When to Use Full‑text Search
Use full‑text search when:
- You forget where certain content is stored
- You want to locate all occurrences of a concept
- You’re searching across documents for learning or analysis
- You need keyword extraction from large info collections
Example:
Search “neural network”
Pop will show all PDFs, notes, and markdown files containing that term.
🧰 3. Search Filters
To further improve retrieval accuracy, Pop provides a flexible filtering system that works together with the search bar.
3.1 File Type Filter
- 📄 Documents (PDF / Word)
- 📝 Notes (Markdown / rich text)
- 🎨 Drawings (Canvas)
- 🧠 Mind Maps
3.2 Time Filters
- Today
- Last 7 days
- Last 30 days
- Custom range
3.3 Folder Filter
Limit results to a designated folder.
3.4 Favorite Filter
- Show only favorites
- Exclude favorites
This allows you to build a “working view” efficiently.
🏷 4. Tagging System (Planned)
Although not yet available, Pop’s design includes a robust tagging system planned for future versions.
Tags will support:
- Multiple tags per file
- Tag colors (e.g., red = urgent, blue = learning)
- Tag cloud view (browse global tags)
- Cross‑folder filtering
- AI‑recommended tags
- Bulk editing
When available, this will greatly enhance knowledge organization.
🤖 5. AI Semantic Search (Planned)
Beyond traditional keyword search, Pop will introduce semantic search powered by AI to deliver results based on meaning, not just keywords.
Future features:
-
Meaning‑based search
e.g., “find all content about enterprise digital transformation” -
Cross‑document semantic matching
-
AI‑generated summaries of search results
-
Workflow‑assisted document analysis
🧭 6. Actions in Search Results
Search results support quick operations:
| Action | Description |
|---|---|
| Open file | Jump directly to the document viewer |
| Locate in folder | Highlight the file in the file manager |
| Add to favorites | Pin frequently used files |
| Ask AI | Continue asking AI about the document |
📝 7. Tips & Best Practices
- The search bar supports natural language like “PDF modified last week”
- For large knowledge bases, combine type + time + keyword search
- Full‑text search is ideal for knowledge review
- Ask AI within search results to generate summaries instantly
- Favorites can serve as your “working set”
Pop’s search system not only helps you locate information but also supports building a powerful, scalable knowledge management workflow. With future additions like tags and AI semantic search, your knowledge base will continue to evolve intelligently.