1. Introduction
  2. 1. vector db
    1. 1.1. Product Quantization
    2. 1.2. Second-Tier Memory
    3. 1.3. HNSW
    4. 1.4. HMANN
    5. 1.5. NSG
    6. 1.6. DiskANN
    7. 1.7. SPANN
  3. 2. Faiss
    1. 2.1. Getting Started
    2. 2.2. Basics
  4. 3. Project
    1. 3.1. DiskANN
    2. 3.2. Faiss
      1. 3.2.1. bench
    3. 3.3. hnswlib
  5. 4. Presentation
    1. 4.1. DiskANN

SPANN

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search