Research paper by Chen et al. examining the meaningfulness of nearest neighbor search in high-dimensional spaces. Analyzes limitations and implications for vector similarity search. Key for understanding ANN effectiveness.

Research paper on high-dimensional approximate nearest neighbor search focusing on reliable and efficient distance comparison operations. Published in Proceedings of the ACM on Management of Data, Volume 1, Issue 2 in 2023 by Jianyang Gao and Cheng Long.

Research paper presenting Maze, a web-scale video deduplication system designed for cost efficiency. Published at the 30th ACM International Conference on Multimedia in 2022, it addresses large-scale video similarity detection.

Research paper on operating and managing Retrieval-Augmented Generation (RAG) pipelines at scale, covering production infrastructure patterns, monitoring, microservices decomposition, and multi-model architecture for enterprise embedding systems.

A theoretical paper establishing the relationship between Maximum Inner Product Search and query-scaled nearest neighbor search. This connection enables applying NN techniques to MIPS problems with theoretical guarantees.

M-tree is a dynamic index structure for organizing and searching large data sets in metric spaces, enabling efficient nearest neighbor queries and dynamic updates, which are important features for vector databases handling high-dimensional vectors.