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Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes, edges connecting them, and attributes of nodes ...
The Atlas of UTR Regulatory Activity (AURA), [1] a biological database, now at its second version, [2] is a manually curated and comprehensive catalog of human 5' and 3' untranslated sequences (UTR) and UTR regulatory annotations. It includes basic annotation, phylogenetic conservation, binding sites for RNA-binding proteins and miRNA, cis ...
Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...
A graph database is a database that is based on graph theory. It consists of a set of objects, which can be a node or an edge. It consists of a set of objects, which can be a node or an edge. Nodes represent entities or instances such as people, businesses, accounts, or any other item to be tracked.
The Bolt Protocol (Bolt) is a connection oriented network protocol used for client-server communication in database applications. It operates over a TCP connection or WebSocket. Bolt is statement-oriented, allowing a client to send messages containing a statement consisting of a single string and a set of typed parameters.
Apple (AAPL) has released its second set of Apple Intelligence AI features for the iPhone, iPad, and macOS. The latest updates include a raft of long-awaited capabilities, including ChatGPT ...
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.
Database tuning describes a group of activities used to optimize and homogenize the performance of a database. It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment ( operating system , CPU , etc.).