Collections
Logical groupings of related content for optimized search and management
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.
Quick Start Video
Watch this 5-minute live walkthrough to see collections in action. The video covers creating, managing, and implementing collections for your mixpeek use cases.
Collection Types
Content Collections
- Document libraries
- Media galleries
- Product catalogs
- Knowledge bases
Feature Collections
- Embedding clusters
- Search indexes
- Feature stores
- Vector databases
Key Concepts
Collection Structure
Best Practices
Plan Collection Structure
Design collections around logical content groupings
Configure Indexes
Set up appropriate indexes for content types
Manage Access
Implement proper access controls and permissions
Monitor Usage
Track collection performance and growth
Performance Optimization
Resource Management
- Efficient storage usage
- Query optimization
- Cache configuration
- Load distribution
Scaling Strategy
- Horizontal scaling
- Shard management
- Resource allocation
- Growth planning
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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