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nightly (25.10)stable (25.08)legacy (25.06)
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Table of Contents

  • Installation
  • Getting Started
    • Primer on vector search indexes
    • Vector search indexes vs vector databases
    • Automated tuning Guide
    • Comparing performance of vector indexes
    • Nearest Neighbor Indexes
      • Brute-force
      • CAGRA
      • IVF-Flat
      • IVF-PQ
      • Vamana
    • cuVS API Basics
    • Interoperability
    • Working with ANN Indexes
      • Working with ANN Indexes in C
      • Working with ANN Indexes in C++
      • Working with ANN Indexes in Python
      • Working with ANN Indexes in Rust
    • Filtering vector indexes
  • Integrations
    • Faiss
    • Milvus
    • Lucene
    • Kinetica
  • cuVS Bench
  • API Reference
    • C API Documentation
      • Core Routines
      • Nearest Neighbors
        • Bruteforce
        • IVF-Flat
        • IVF-PQ
        • CAGRA
        • HNSW
    • C++ API Documentation
      • Cluster
        • Cluster
        • Cluster
      • Distance
      • Nearest Neighbors
        • All-neighbors
        • Bruteforce
        • CAGRA
        • Dynamic Batching
        • Epsilon Neighborhood
        • Filtering
        • HNSW
        • IVF-Flat
        • IVF-PQ
        • NN-Descent
        • Refinement
        • Distributed ANN
        • Vamana
      • Preprocessing
        • Quantize
      • Selection
      • Stats
    • Python API Documentation
      • Cluster
        • K-Means
      • Distance
      • Nearest Neighbors
        • Brute Force KNN
        • CAGRA
        • HNSW
        • IVF-Flat
        • IVF-PQ
        • NN-Descent
      • Preprocessing
    • Rust API Documentation
  • Contributing
  • API Reference
  • C++ API Documentation
  • Preprocessing

Preprocessing#

Contents:

  • Quantize
    • Scalar
    • Binary

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Vamana

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Quantize
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