Vector Search and Embeddings
Definition of Nearest Neighbor Search
k-Nearest Neighbors Problem
Range Queries
Use Cases in Information Retrieval
Algorithm Steps
Time and Space Complexity
Implementation Considerations
Memory Usage Patterns
Latency in Large Datasets
Computational Bottlenecks
Approximation Techniques
Quality Metrics
Performance Considerations
Space Partitioning
Dimensionality Reduction
Hashing Techniques
Graph-based Approaches
Recall and Precision
Query Latency
Index Build Time
Memory Usage
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4. Similarity Metrics and Distance Functions
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6. ANN Indexing Algorithms and Data Structures