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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 ...
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 .
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Vector file sizes are usually smaller than raster data, which can be tens, hundreds or more times larger than vector data (depending on resolution). Vector data is simpler to update and maintain, whereas a raster image will have to be completely reproduced. (Example: a new road is added). Vector data allows much more analysis capability ...
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 ...
Actian Vector (formerly known as VectorWise) is an SQL relational database management system designed for high performance in analytical database applications. [2] It published record breaking results on the Transaction Processing Performance Council 's TPC-H benchmark for database sizes of 100 GB, 300 GB, 1 TB and 3 TB on non-clustered hardware.