CHANNI: A Multi-Level Vector Search Index with Nested Graph Navigation
Cosdata Research
Contributor
·10 min read
1. Abstract
2. Introduction
3. Core Innovation
3.1. Multi-Level Navigation Architecture
3.2. Primary-Based Cluster Representation
3.2.1. Advantages
3.2.2. Hybrid Approach for Splits
3.2.3. Trade-offs
3.2.4. Implementation Impact
4. Illustration
5. Clustering Strategy: Vector Space Partitioning through Representative Sampling
5.1. Initial Cluster Primary Selection
5.2. Theoretical Analysis
6. Index Construction and Performance
6.1. Build Process Overview
6.1.1. Initial Sampling Phase
6.1.2. Cluster Formation Phase
6.1.3. Graph Construction Phase
6.2. Build-Time Optimizations
6.3. Relationship to Search Performance
6.4. Resource Requirements
7. Technical Architecture
7.1. Search Process
7.2. Parameter Configuration
8. Dynamic Index Maintenance
8.1. Split & Merge Operations
8.1.1. Cluster Split Strategy
8.1.2. Cluster Merge Operations
8.1.3. Transaction Management
8.1.4. Performance Implications
8.2. Parallel Maintenance Operations
8.2.1. Concurrent Cluster Operations
8.2.2. Resource Coordination
8.2.3. Monitoring and Recovery
9. System Implementation
9.1. Resource Management
10. Performance Characteristics
10.1. Search Efficiency
10.2. I/O Patterns
11. Search Parallelization Strategy
11.1. Distributed Search Architecture
11.2. Resource Management
11.3. Scaling Behavior
12. Scalability Features
12.1. Horizontal Scaling
12.2. Resource Adaptation
13. Experimental Results
13.1. Dataset Characteristics
13.2. Performance Metrics
13.2.1. Search Quality
13.2.2. Resource Utilization
13.2.3. Scalability Tests
14. Future Research Directions
14.1. Theoretical Developments
14.2. Technical Enhancements
14.3. Potential Applications
15. Advantages over Existing Approaches
16. Conclusion
17. Acknowledgments
18. References
19. TODO
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