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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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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. It turns out ...
Tool 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
Vector combine Rotate & move Polylines Spline curves Lines to curves cmd. & vice versa Vector shapes Easy Trace Yes Yes Yes Yes Yes Yes Yes Graphic Tracer Professional N/A Yes Yes Yes Yes Yes Yes Adobe Illustrator Yes Yes Yes Yes Yes No Yes Potrace N/A N/A N/A N/A N/A N/A N/A ImageTracer N/A N/A N/A N/A N/A N/A N/A Scan2CAD Yes Yes Yes Yes Yes Yes
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 ...
Access Database Engine (formerly known as Jet Database Engine) Proprietary Actian Zen (PSQL) (formerly known as Pervasive PSQL) Proprietary Adabas D: Proprietary Airtable: Proprietary Altibase: Proprietary Amazon Aurora: Proprietary Apache Derby: Apache License 2.0 Apache Ignite: Apache License 2.0 Aster Data Systems: Proprietary CA Datacom ...
A probabilistic short read aligner based on the use of position specific scoring matrices (PSSM). The aligner is adaptable in the sense that it can take into account the quality scores of the reads and models of data specific biases, such as those observed in Ancient DNA, PAR-CLIP data or genomes with biased nucleotide compositions. [39] Yes ...