vector-search-papers

A curated GitHub repository collecting research papers and technical blogs on vector search, approximate nearest neighbor search (ANN Search), and vector databases. This resource is designed as a comprehensive directory for foundational and advanced research in vector search technologies, relevant for information retrieval, RAG (retrieval-augmented generation), recommendation systems, and more.

Features

• Curated Paper List: Extensive, regularly updated collection of research papers and technical articles on:
  • Vector search fundamentals and applications
  • Approximate nearest neighbor search (ANN/ANNS) methods
  • Vector databases and indexing strategies
  • Graph-based, GPU-based, MIPS, LSH, and other algorithmic categories
  • Theoretical and survey works, as well as practical system designs
• Application Coverage: Papers cover vector search applications in areas such as:
  • Large-scale information retrieval
  • Cross-modal retrieval
  • LLMs-based RAG
  • Recommendation systems
  • Drug discovery
  • Image search
  • LLM inference
• Introductory Resources: Links to beginner-friendly explanations and introductory articles about vector search and its importance
• Community Contributions: Open for public contributions to add new papers or resources
• Categorized Table: Papers organized in a table by title, category, and remarks for easy navigation
• Open Source: MIT license

Category

Curated Resource Lists

Tags

vector-search, research, papers, ann, vector-databases

Source

https://github.com/matchyc/vector-search-papers

Pricing

• Free (Open Source, MIT License)