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Overview

Qwox uses advanced semantic search powered by AI. Unlike traditional keyword search, Qwox understands the meaning of your query and finds relevant information even if the exact words don’t match.

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How It Works

Qwox converts your search query into an AI-powered representation that captures its semantic meaning. This allows Qwox to find conceptually similar content, even when the exact words differ. Example:
You SearchWhat Qwox Finds
”car problems”Notes about “vehicle issues”, “auto repair”, “mechanic appointments"
"happy moments”Memories tagged with “celebration”, “achievement”, “good news"
"workout routine”Notes containing “exercise plan”, “fitness schedule”, “gym sessions”

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Intelligent Ranking

Qwox combines two factors to rank search results:
  1. Relevance: How closely the meaning matches your query
  2. Recency: How recent the content is
You can adjust this balance with sort modes (see below).

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Search Methods

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Via Chat

The most natural way to search: 
"Find my marketing notes"
"What do I know about Sarah?"
"Show me my workout routine"
"Search for doctor appointments"
Qwox will automatically search your memories and display relevant results.

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Via Library

Use the search bar in the Library screen:
  • Mobile: Tap search icon → Type query → View results
  • Web: Search bar at top → Type query → Results appear instantly

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Via AI Agent

Ask Qwox to search for specific information: 
"What's John's email address?"
"When did I last go to the dentist?"
"Find my flight confirmation"
The AI will search your memories and provide a natural language answer.

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Search Features

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Smart Filters

Narrow your search results with filters:

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Type Filter

"Find notes about marketing"
"Search events next week"
"Show me uploaded files"
Supported Types:
  • note - Text notes
  • event - Calendar events
  • file - Uploaded documents
  • all - Everything (default)

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Collection Filter

"Search in Project Alpha collection"
"Find notes in Work collection"
Collections are automatically extracted from your notes based on projects, people, locations, and organizations mentioned.

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Tag Filter

"Find items tagged important"
"Search notes with tag #work"
Multiple tags can be combined (matches any tag).

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Sort Modes

Control how results are ranked:
ModeDescriptionFocus
Relevance (default)Best semantic matchPrioritizes meaning match
NewestMost recent firstPrioritizes creation date
Recently UpdatedRecently modifiedPrioritizes last edit date
Example: 
"Search for meeting notes, sort by newest"
"Find project documents, sort by relevance"

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Result Quality

Qwox automatically filters out low-quality matches to show you only relevant results.
  • Precise Mode: Fewer, highly relevant results
  • Broad Mode: More results, may include loosely related items

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Web Search Integration

Qwox can search the internet when you ask: 
"Search the web for Python tutorials"
"Find recent news about AI"
"Look up weather in Paris"
Features:
  • Professional Search: Enterprise-grade search technology
  • Language Support: Searches in your preferred language
  • Location-Aware: Results tailored to your location
  • Organic Results Only: No ads, just relevant content
Web search is separate from memory search. Qwox automatically determines whether to search your memories or the web based on your query.

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Advanced Features

Qwox considers:
  • Recent Conversations: What you’ve been discussing
  • Current Time: “yesterday”, “last week” are understood
  • Related Information: Connects people, projects, and events

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Multi-Language Content

Qwox can find content regardless of language:
  • Notes in Turkish, English, French, etc.
  • Searches work across all languages
  • Results ranked by semantic similarity, not language match
While Qwox can search across languages, results are most accurate when your query language matches your content language.

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Fuzzy Matching

Qwox handles:
  • Typos: “meetting” finds “meeting”
  • Synonyms: “doctor” finds “physician”
  • Related Concepts: “fitness” finds “gym”, “workout”, “exercise”

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Search in Action

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Example 1: Finding Contact Info

Query: “What’s Sarah’s phone number?” What Qwox does:
  1. Analyzes the meaning of “Sarah phone number”
  2. Searches memories for semantic matches
  3. Finds note: “Sarah Johnson - 555-0123”
  4. Returns result ranked by relevance

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Example 2: Finding Events

Query: “When is my next dentist appointment?” What Qwox does:
  1. Searches events with “dentist appointment”
  2. Filters for future dates
  3. Sorts by date (ascending)
  4. Returns: “Dr. Smith - March 15, 2:00 PM”

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Example 3: Project Research

Query: “Find all notes about Project Alpha” What Qwox does:
  1. Semantic search for “Project Alpha”
  2. Applies collection filter (if Project Alpha is a collection)
  3. Returns all related notes, sorted by relevance

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Search Tips

“Find my dentist appointment with Dr. Smith” is better than “find appointment”
Ask questions naturally: “What’s John’s email?” instead of “John email search”
If you can’t find something, try synonyms: “doctor” → “physician”, “meeting” → “appointment”
Narrow results with type, collection, or tag filters for faster discovery
Use “Newest” to find recent items, “Relevance” for best semantic match

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Performance

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Search Speed

  • Typical Response: Under 1 second
  • First Search: May take 1-3 seconds (system initialization)
  • Optimization: Intelligent caching for faster subsequent searches

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Scalability

  • Unlimited Memories: No limit on searchable content
  • Efficient Transfer: Only relevant results downloaded (not all memories)
  • Cloud-Powered: Advanced AI processing in the cloud

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Limitations

The following features are NOT currently supported:
  • ❌ Boolean Operators (AND, OR, NOT) - Use natural language instead
  • ❌ Exact Phrase Search (quotes) - Semantic search finds similar meaning
  • ❌ Date Range Filters - Use natural language like “last month” or “this year”
  • ❌ Field-Specific Search (title:, tag:) - Use filters instead
  • ❌ Search History - Previous searches are not saved
  • ❌ Cross-Language Search - Query and content should be in same language for best results

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Troubleshooting

  • Try broader terms or synonyms
  • Check if content exists in your memories
  • Lower the similarity threshold (if using API)
  • Verify you’re searching the correct type (notes vs events)
  • Be more specific in your query
  • Use filters (type, collection, tags)
  • Try “Relevance” sort mode
  • Increase similarity threshold
  • First search after inactivity may be slow (cold start)
  • Subsequent searches are faster (warm function)
  • Check your internet connection
  • Try “Newest” or “Recently Updated” sort mode
  • Check if item was actually saved
  • Refresh the library view

Memories

Understand how information is stored

Notes

Organize content for better searchability

AI Chat

Search via natural conversation