Vector Search, Approximate Nearest Neighbor Search Papers

A curated collection of awesome papers in the field of vector search, known as approximate nearest neighbor search (ANN search, ANNS). This repository aims to gather high-quality research papers, articles, and resources that provide valuable insights and advancements. This technology is a critical component in vector databases, retrieval-augmented generation (RAG), large-scale information retrieval, recommendation systems, drug discovery, image search, etc.

The latest update: 2024-10-29

Table of Contents

• What is vector search and its applications
• Papers
• License

What is vector search and its applications

First of all, what is vector search, and why is it so important in the booming age of AI?

simple explanation:

• what-is-vector-search
• a-gentle-introduction-to-vector-search
• Explanation in Quora
• k-nn-vs-approximate-nearest-neighbors

Applications:

• 5-use-cases-for-vector-search
• Introduction to Vector Search for Developers

Papers

Title	Url	High-Level Category	Remarks
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search	link	graph-based	out-of-distribution
On Efficient Retrieval of Top Similarity Vectors	link	MIPS	MIPS for top-1
In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search	Link	NAND-Flash acceleration	Using storage compute
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries	Link	multi-vector
Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement	Link	Survey
Graph-based Nearest Neighbor Search: From Practice to Theory	Link	Theoretical
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search	Link	Graph-based
HVS: hierarchical graph structure based on Voronoi diagrams for solving approximate nearest neighbor search	Link	Graph-based
DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node	Link	Graph-based	SSD-based
Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs	Link	Graph-based
SONG: Approximate Nearest Neighbor Search on GPU	Link	Graph-based
Graph-based Nearest Neighbor Search: Promises and Failures	Link	Graph-based
Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination	Link	Graph-based
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search	Link	Survey
Fast approximate nearest neighbor search with the navigating spreading-out graph	Link	Graph-based
Non-metric Similarity Graphs for Maximum Inner Product Search	Link	Graph-based
Understanding and Improving Proximity Graph-based Maximum Inner Product Search	Link	Graph-based
Learning to Route in Similarity Graphs	Link	Graph-based+DeepLearning(GCN)
Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data	Link	Graph-based
Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement	Link	Graph-based
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases	Link	Graph-based
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis	Link	Graph-based
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search	Link	Graph-Tree-based	SSD-based
Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search	Link	Graph-based
Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search	Link	Graph-based
Fusion of graph-based indexing and product quantization for ANN search	Link	Graph-based
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces	Link	Graph-based
Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data	Link	Graph-based
Scaling Graph-Based ANNS Algorithms to Billion-Size Datasets: A Comparative Analysis	Link	Survey
Automating Nearest Neighbor Search Configuration with Constrained Optimization	Link	Learning
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation	Link	Graph-based
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval	Link	Graph-based
On Efficient Retrieval of Top Similarity Vectors	Link	Graph-based
SONG: Approximate Nearest Neighbor Search on GPU	Link	GPU
RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing	Link	GPU
Billion-scale similarity search with GPUs	Link	GPU
Fast neural ranking on bipartite graph indices	Link	Neural Rank
Fast Item Ranking under Neural Network based Measures	Link	Neural Rank
Non-metric Similarity Graphs for Maximum Inner Product Search	Link	MIPS
Möbius Transformation for Fast Inner Product Search on Graph	Link	MIPS
Understanding and Improving Proximity Graph-based Maximum Inner Product Search	Link	MIPS
Reinforcement Routing on Proximity Graph for Efficient Recommendation	Link	Learning
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective	Link	Learning
Constructing Tree-based Index for Efficient and Effective Dense Retrieval	Link	Learning
Reverse Maximum Inner Product Search: Formulation, Algorithms, and Analysis	Link	MIPS
FARGO: Fast Maximum Inner Product Search via Global Multi-Probing	Link	LSH
SRS: solving c -approximate nearest neighbor queries in high dimensional Euclidean space with a tiny index	Link	LSH
From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective	Link	LSH
LazyLSH: Approximate Nearest Neighbor Search for Multiple Distance Functions with a Single Index	Link	LSH
HD-index: pushing the scalability-accuracy boundary for approximate kNN search in high-dimensional spaces	Link	LSH
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search	Link	LSH
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search	Link	LSH
Supervised Hierarchical Deep Hashing for Cross-Modal Retrieval	Link	LSH
A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search	Link	Survey
Transformer Memory as a Differentiable Search Index	Link	Model-as-Index
Recommender Systems with Generative Retrieval	Link	Model-as-Index
SPREADING VECTORS FOR SIMILARITY SEARCH	Link	Learning + Dimensionality Reduction
Model-enhanced Vector Index	Link	Fusion Retrieval
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning	Link	Prune edges with learning
Low-Precision Quantization for Efficient Nearest Neighbor Search	Link	scalar quantization

Please note that some entries may require access or membership to view the full content.

How to Contribute

We welcome contributions to expand and improve this collection. If you have any papers or resources that you believe should be included, please follow these guidelines:

1. Fork the repository.
2. Add your paper/resource to the appropriate category or create a new category if needed.
3. Include a link to the paper/resource (if available) or any relevant information.
4. Submit a pull request.

License

MIT license.