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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. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    It is designed to provide high availability, scalability, and low-latency access to data for modern applications. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector database, [1] which means it can handle unstructured, semi-structured, structured, and vector data types. [2]

  4. 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.

  5. Category:Vector databases - Wikipedia

    en.wikipedia.org/wiki/Category:Vector_databases

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Pages for logged out editors learn more

  6. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  7. Distributional–relational database - Wikipedia

    en.wikipedia.org/wiki/Distributional–relational...

    Distributional–relational models were first formalized, [3] [4] as a mechanism to cope with the vocabulary/semantic gap between users and the schema behind the data. In this scenario, distributional semantic relatedness measures, combined with semantic pivoting heuristics can support the approximation between user queries (expressed in their own vocabulary), and data (expressed in the ...

  8. Object–role modeling - Wikipedia

    en.wikipedia.org/wiki/Object–role_modeling

    Attribute free, the predicates of an ORM Model lend themselves to the analysis and design of graph database models in as much as ORM was originally conceived to benefit relational database design. The term "object–role model" was coined in the 1970s and ORM based tools have been used for more than 30 years – principally for data modeling.

  9. Data model (GIS) - Wikipedia

    en.wikipedia.org/wiki/Data_model_(GIS)

    For example, the field is a generic conceptual model of geographic phenomena, the relational database model and vector are generic logical models, while the shapefile format is a generic physical model. These models are typically implemented directly info software and GIS file formats.