VectorDB Search Algorithms

High-performance Java implementations of vector search algorithms with custom optimizations for semantic search

🚀 Features

• Algorithm Implementations

  • Ball Tree (Completed)
  • K-Dimension Tree (Completed)
  • Custom INV+Ball Tree Hybrid (In Development)
  • Supervised Learning with indexes (Planned)
  • HNSW (Hierarchical Navigable Small World) - In Development
  • Custom FAISS-inspired optimizations (Planned)

• Optimization Focus

  • Memory-efficient data structures
  • SIMD acceleration for Java vector operations
  • Quantization support (8-bit/4-bit)
  • Parallel query execution
  • Cache-aware memory layout

• Semantic Search Enhancements

  • Hybrid sparse-dense vector support
  • Dynamic dimensionality reduction
  • Adaptive metric learning integration
  • Custom loss functions for index tuning

📦 Installation

Requirements:

• JDK 17+
• Maven 3.8+