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 MetadataLink to section

• 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 TypesLink to section

String ValuesLink to section

{
"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 ValuesLink to section

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

Best For: Scores, versions, counts, measurements

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

Boolean ValuesLink to section

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

Best For: Flags, permissions, feature toggles

Filtering: True/false conditions

Date/Time ValuesLink to section

{
"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 ValuesLink to section

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

Best For: Multiple values, collections