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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.
This is a list of GIS data sources (including some geoportals) that provide information sets that can be used in geographic information systems (GIS) and spatial databases for purposes of geospatial analysis and cartographic mapping. This list categorizes the sources of interest.
Pages in category "Vector databases" The following 2 pages are in this category, out of 2 total. This list may not reflect recent changes. M. Milvus (vector database) P.
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 .
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.
Relational (SQL, ODBC, JDBC) in-memory database system originally developed for use in SCADA and embedded systems, but used in a variety of other applications including financial systems. Supports data durability via snapshots and journal logging, and high availability via a hot-standby. First released in 1993; version 8.7 released in March ...
This is a list of lists of databases or databanks: List of academic databases and search engines; List of biodiversity databases; List of biological databases; List of chemical databases; List of databases for oncogenomic research; List of Drosophila databases; List of genealogy databases; List of long non-coding RNA databases; List of ...
Database of grayscale handwritten digits and letters. 810,000 image, label classification 2010 [2] NIST 80 Million Tiny Images: 80 million 32×32 images labelled with 75,062 non-abstract nouns. 80,000,000 image, label 2008 [3] Torralba et al. JFT-300M Dataset internal to Google Research. 300M images with 375M labels in 18291 categories 300,000,000