ArangoSearch Views powered by IResearch

ArangoSearch is a natively integrated AQL extension making use of the IResearch library.

ArangoSearch allows one to:

• join documents located in different collections to one result list
• filter documents based on AQL boolean expressions and functions
• sort the result set based on how closely each document matched the filter

A concept of value “analysis” that is meant to break up a given value into a set of sub-values internally tied together by metadata which influences both the filter and sort stages to provide the most appropriate match for the specified conditions, similar to queries to web search engines.

In plain terms this means a user can for example:

• request documents where the body attribute best matches a quick brown fox
• request documents where the dna attribute best matches a DNA sub sequence
• request documents where the name attribute best matches gender
• etc. (via custom analyzers)

The IResearch Library

IResearch is a cross-platform open source indexing and searching engine written in modern C++, optimized for speed and memory footprint, with source available from https://github.com/iresearch-toolkit/iresearch

IResearch is the framework for indexing, filtering and sorting of data. The indexing stage can treat each data item as an atom or use custom “analyzers” to break the data item into sub-atomic pieces tied together with internally tracked metadata.

The IResearch framework in general can be further extended at runtime with custom implementations of analyzers (used during the indexing and filtering stages) and scorers (used during the sorting stage) allowing full control over the behavior of the engine.

Using ArangoSearch Views

To get more familiar with ArangoSearch usage, you may start with Getting Started simple guide and then explore details of ArangoSearch in Detailed Overview, Analyzers and Scorers topics.