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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.
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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The technology plan is focused on the actual tangible elements to be used in the implementation of the data architecture design. Physical data architecture encompasses database architecture. Database architecture is a schema of the actual database technology that would support the designed data architecture.
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 ...
Chroma or ChromaDB is an open-source vector database tailored to applications with large language models. [1]Its headquarters are in San Francisco.In April 2023, it raised 18 million US dollars as seed funding.
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Entity–relationship modeling was developed for database and design by Peter Chen and published in a 1976 paper, [2] with variants of the idea existing previously. [3] Today it is commonly used for teaching students the basics of database structure.