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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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Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists.
Toad Data Modeler: Quest Software: 2020-10-19 7.3 [14] Proprietary: Yes No No Yes Yes Yes Yes IBM Db2, MS Access, Sybase: Delphi: TOra: Community 2017-07-04 3.2 GPL: Yes Yes Yes Yes Yes Yes Teradata: C++–Qt: Product Creator Latest stable release date Latest stable release License Runs on Windows Runs on macOS Runs on Linux Oracle MySQL ...
OLAP server Company Website Latest stable version Software license License pricing Apache Doris Apache Software Foundation [1]1.2.3 Apache 2.0: free
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.
SIMD was the basis for vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a "vector" of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector processing architectures are now considered separate from SIMD computers ...