Within the view definition, one can specify entire collections or individual fields that should be covered by an inverted index using one or several general text analyzers. Search uses a special kind of materialized view to enable full-text search on multiple collections at once.
If used in conjunction with graph database capabilities, search results could be used, for example, to enhance fraud protection, individualize recommendations or simplify precision medicine. ArangoSearch can be combined with all three data models in ArangoDB. The former is responsible for managing the index, querying and scoring, whereas the latter provides search capabilities for the end user in a convenient way.
Providing a rich set of information retrieval capabilities, ArangoSearch consists of two components - a search engine and an integration layer.
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Major new enhancements in ArangoDB 3.4 include ArangoSearch, a feature which transforms ArangoDB, when combined with traversals or joins in AQL, from a data retrieval to an information retrieval solution and full GeoJSON Support enabled by a Google S2 Geo Index library integration.ĪrangoSearch, the result of four years of research and development, combines Boolean and generalized ranking retrieval models (e.g. ArangoDB announced the GA release of ArangoDB 3.4 - a transactional database solution which enables developers to efficiently interact with multiple data models by using just one technology and one query language.
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