Supported Metadata Types

Metadata is structured information about your files that enables powerful filtering, organization, and search capabilities. This page covers what types of metadata you can store and how to structure them effectively.

Understanding Metadata

• File-Level: Metadata attached to entire files
• Inheritance: Chunks inherit metadata from their parent file
• Filtering: Use metadata to narrow search results (learn more)
• Content Organization: Structure content for easier discovery

Metadata Types

String Values

{
"category": "documentation",
"author": "john.doe",
"department": "engineering",
"status": "published"
}

Best For: Categories, names, tags, status values

Filtering: Equality, inequality, pattern match (like, not like)

Numeric Values

{
"priority": 8,
"version": 2.1,
"page_count": 45,
"file_size": 1048576
}

Best For: Scores, versions, counts, measurements

Filtering: Comparisons (>, <, >=, <=)

Boolean Values

{
"is_public": true,
"requires_auth": false,
"is_deprecated": false,
"featured": true
}

Best For: Flags, permissions, feature toggles

Filtering: True/false conditions

Date/Time Values

{
"created_at": "2024-01-15T10:30:00Z",
"last_updated": "2024-01-20",
"expires_on": "2024-12-31",
"published_date": "2024-01-15"
}

Best For: Timestamps, deadlines, publishing dates

Filtering: Comparisons (>, <, >=, <=)

Format: ISO 8601 recommended

Array/List Values

{
"tags": [
  "python",
  "web",
  "api"
],
"authors": [
  "alice",
  "bob"
],
"categories": [
  "tutorial",
  "guide"
],
"languages": [
  "en",
  "es"
]
}

Best For: Multiple values, collections