Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Performance-portable geometric search library

High performance nearest neighbor data structures (KDTree and BallTree) and algorithms for Julia.

k-NN Search Go pkg

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Collections of vector search related libraries, service and research papers

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

Anytime Lazy kNN: A fast anytime kNN search algorithm that assesses only true kNN candidates in a lazy fashion.

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN

Create a Simple network of words related to each other using Twitter Streaming API.

Absolute balanced kdtree for fast kNN search.

Nearest Neighbour Search with Variables on a Torus

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️

Scalable Feature Store

KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.

Course Project of Information Retrieval.

elastiknnQueryBuilder

A super simple Q&A chat-bot applying vector search