Vector Search and Embeddings

  1. Advanced Topics and Optimization
    1. Hybrid Search Strategies
      1. BM25 and Vector Integration
        1. Sparse-Dense Fusion
          1. Reciprocal Rank Fusion
            1. Linear Combination
            2. Re-ranking Strategies
              1. Two-stage Retrieval
                1. Learning-to-Rank
                  1. Neural Re-ranking
                2. Performance Optimization
                  1. Index Parameter Tuning
                    1. HNSW Parameters
                      1. ef_construction Optimization
                        1. M Parameter Selection
                          1. ml Parameter Tuning
                          2. IVF Parameters
                            1. nlist Optimization
                              1. nprobe Selection
                              2. PQ Parameters
                                1. Subvector Count
                                  1. Codebook Size
                                2. Query Optimization
                                  1. Search Parameters
                                    1. ef_search in HNSW
                                      1. nprobe in IVF
                                      2. Batch Query Processing
                                        1. Query Caching
                                        2. Hardware Acceleration
                                          1. GPU Utilization
                                            1. CUDA Implementation
                                              1. Memory Management
                                                1. Batch Processing
                                                2. TPU Integration
                                                  1. SIMD Optimization
                                                    1. Parallel Processing
                                                  2. Scalability and Distributed Systems
                                                    1. Horizontal Scaling
                                                      1. Sharding Strategies
                                                        1. Hash-based Sharding
                                                          1. Range-based Sharding
                                                            1. Consistent Hashing
                                                            2. Replication Patterns
                                                              1. Master-Slave Replication
                                                                1. Multi-master Setup
                                                                  1. Eventual Consistency
                                                                2. Load Balancing
                                                                  1. Query Distribution
                                                                    1. Resource Allocation
                                                                      1. Auto-scaling
                                                                      2. Consistency and Availability
                                                                        1. CAP Theorem Considerations
                                                                          1. Consistency Models
                                                                            1. Failure Handling
                                                                          2. Quality Evaluation and Testing
                                                                            1. Evaluation Metrics
                                                                              1. Recall at K
                                                                                1. Precision at K
                                                                                  1. Mean Average Precision
                                                                                    1. Normalized Discounted Cumulative Gain
                                                                                      1. Mean Reciprocal Rank
                                                                                      2. Ground Truth Creation
                                                                                        1. Annotation Guidelines
                                                                                          1. Inter-annotator Agreement
                                                                                            1. Quality Control
                                                                                            2. A/B Testing
                                                                                              1. Experiment Design
                                                                                                1. Statistical Significance
                                                                                                  1. Result Interpretation
                                                                                                  2. Continuous Monitoring
                                                                                                    1. Performance Tracking
                                                                                                      1. Quality Degradation Detection
                                                                                                        1. Automated Alerts

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                                                                                                    8. Building Vector Search Systems: Implementation Guide

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                                                                                                    10. Real-World Applications and Use Cases