Collections in Mixpeek are logical groupings of related content that share similar characteristics, search configurations, and access patterns. They help organize your content and optimize search experiences.

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Collection Types

Content Collections

  • Document libraries
  • Media galleries
  • Product catalogs
  • Knowledge bases

Feature Collections

  • Embedding clusters
  • Search indexes
  • Feature stores
  • Vector databases

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Key Concepts

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Collection Structure

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Best Practices

1

Plan Collection Structure

Design collections around logical content groupings

2

Configure Indexes

Set up appropriate indexes for content types

3

Manage Access

Implement proper access controls and permissions

4

Monitor Usage

Track collection performance and growth

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Performance Optimization

Resource Management

  • Efficient storage usage
  • Query optimization
  • Cache configuration
  • Load distribution

Scaling Strategy

  • Horizontal scaling
  • Shard management
  • Resource allocation
  • Growth planning

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Limitations

Be aware of these technical constraints:

  • Maximum 1000 collections per namespace
  • Collection names must be unique within namespace
  • Maximum 10M assets per collection
  • Collection metadata size limit: 100KB

For detailed implementation examples, see the Collections API Reference.

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