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  2. Milvus (vector database) - Wikipedia

    en.wikipedia.org/wiki/Milvus_(vector_database)

    Milvus is a distributed vector database developed by Zilliz. It is available as both open-source software and a cloud service . Milvus is an open-source project under LF AI & Data Foundation [ 2 ] distributed under the Apache License 2.0 .

  3. Vector database - Wikipedia

    en.wikipedia.org/wiki/Vector_database

    A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.

  4. Chroma (vector database) - Wikipedia

    en.wikipedia.org/wiki/Chroma_(vector_database)

    Chroma or ChromaDB is an open-source vector database tailored to applications with large language models. [1]Its headquarters are in San Francisco.In April 2023, it raised 18 million US dollars as seed funding.

  5. Category:Vector databases - Wikipedia

    en.wikipedia.org/wiki/Category:Vector_databases

    Milvus (vector database) P. PostgreSQL This page was last edited on 26 March 2024, at 12:01 (UTC). Text is available under the Creative ... By using this site, ...

  6. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    LIBSVM – C++ support vector machine libraries; mlpack – open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API) Mondrian – data analysis tool using interactive statistical graphics with a link to R

  7. List of GIS data sources - Wikipedia

    en.wikipedia.org/wiki/List_of_GIS_data_sources

    SoilGrids1km is a collection of updatable soil property and class maps of the world at a resolution of 1 km produced using state-of-the-art model-based statistical methods. Presents estimates (means and 90% confidence intervals) for pH, texture (sa, si, cl), organic carbon and more for 6 depth layers up to 2 m depth. Harmonized World Soil Database