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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.
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Specialized editions for (for example) clustering, high availability, 64-bit support, and hybrid (in-memory and persistent) storage. eXtremeDB Financial Edition implements columnar data handling, vector-based statistical function library, integrated performance monitoring. H2 (DBMS) H2 Java, ODBC, JDBC
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 .
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]
The digital vector geographical database of the Czech Republic ArcČR® 500 is created in the detail of the scale 1: 500 000. Its content is clear geographical information about the Czech Republic. The data were created in cooperation with ARCDATA PRAHA, s.r.o., the Surveying and Mapping Authority and the Czech Statistical Office and are ...
A hybrid topological data model has the option of storing topological relationship information as a separate layer built on top of a spaghetti data set. An example is the network dataset within the Esri geodatabase. [23] Vector data are commonly used to represent conceptual objects (e.g., trees, buildings, counties), but they can also represent ...
TerminusDB published a sidecar vector database called VectorLink. It is a data tool to provide large language models with semantic context about data. Drawing on the features of TerminusDB, it provides versioned indexing of data and content..