Tags

Discover Tags

Browse all tags in our directory

Tags

All Tags(98)vector search(66)open-source(42)vector databases(22)ANN(21)scalable(19)AI(17)hybrid search(13)similarity search(13)Milvus(12)cloud-native(11)semantic search(9)real-time(9)benchmark(8)high-dimensional(8)enterprise(7)managed service(7)vector embeddings(7)research(6)performance(6)integration(6)distributed(6)RAG(5)machine learning(5)analytics(5)scalability(4)evaluation(4)resources(4)Python(4)high-performance(4)data structure(4)testing(3)roadmap(3)survey(3)retrieval(3)management(3)SQL(3)LLM(3)nearest neighbor(3)optimization(3)papers(2)in-memory(2)full-text search(2)applications(2)ANNS(2)architecture(2)commercial(2)datasets(2)tutorials(2)NoSQL(2)PostgreSQL(2)GPU acceleration(2)clustering(2)HNSW(2)dynamic data(2)compression(2)blogs(1)graph database(1)document database(1)KNN(1)reliability(1)use-cases(1)challenges(1)technologies(1)definition(1)tools(1)awesome list(1)libraries(1)vector data(1)migration(1)SDK(1)data synchronization(1)CLI(1)sizing(1)resource estimation(1)backup(1)restore(1)disaster recovery(1)Apache Spark(1)Redis(1)multimodal(1)LangChain(1)OpenSearch(1)multi-language(1)proprietary(1)spatial indexing(1)metric space(1)dynamic updates(1)accuracy(1)Weaviate(1)examples(1)lightweight(1)Rust(1)GUI(1)debugging(1)vector stores(1)topic modeling(1)NLP(1)OLAP

K-means Tree

Concepts & Definitionsclusteringdata structure

K-means Tree is a clustering-based data structure that organizes high-dimensional vectors for fast similarity search and retrieval. It is used as an indexing method in some vector databases to optimize performance for vector search operations.

#data structure

#similarity search

#high-dimensional

usearch

SDKs & Librariesopen-sourcevector search

usearch is a fast, open-source search and clustering engine designed for efficient vector search across multiple programming languages.

#multi-language