Persistence layer for Ruby models and Elasticsearch.

An API-driven multitenant identity, custom content distribution/management and reporting platform powered by Rails, React, GraphQL and ElasticSearch

A library for using elasticsearch-model with globalize

Elasticsearch integrations for indexing git repositories.

The peoplefinder provides searchable staff profiles for your organisation. Since it's a rails engine, you can re-skin it for your organisation.

The Atlas Engine is a rails engine that provides a GraphQL API for address validation.

This gem offers a shim to connect Rails apps with a Bonsai Elasticsearch cluster. The official Elasticsearch gem package requires some minor configuration tweaks in order to work correctly with Bonsai (namely the client needs to be instantiated with the cluster location and HTTP authentication details), and the process can be somewhat complicated for users who are unfamiliar with the system. The bonsai-elasticsearch-rails gem automatically sets up the Elasticsearch client correctly so users don't need to worry about configuring it in their code or writing an initializer. In order for the gem to work correctly, the application needs an environment variable called `BONSAI_URL`, which is populated with the complete Bonsai Elaticsearch cluster URL, including the HTTP authentication. The cluster URL will follow this pattern: https://user1234:pass5678@cluster-slug-123.aws-region-X.bonsai.io/ On Heroku, this variable is created and populated automatically when Bonsai is added to the application. Heroku users therefore do not need to perform any additional configuration to connect to their cluster after adding the bonsai-elasticsearch-rails gem. Users who are self-hosting their Rails app will need to make sure this environment variable is present: export BONSAI_URL="https://user1234:pass5678@aws-region-X.bonsai.io/" The cluster URL is available via the Bonsai dashboard.

Make your Ruby objects searchable with Elasticsearch.

Implements common components and features for Rails-based LCMS systems

Active Admin component to display elastic statistics.

Add Elasticsearch reindex option to ActiveRecord associations

Carload is built with taste, and tries to be just right!

Adds capabilities to manage custom fields and values of various types to database models. Also includes ElasticSearch integration.

elasticsearch-rails extensions

Powerful and flexible elasticsearch query factory for you ruby application

Include autocomplete into your project. Base capability can perform multiple queries per request.

Add faceted searching with ElasticSearch to your Models

Elasticsearch::Model extensions for Mongoid adding support of single collection inheritance (by the way of multiple indexes), localized fields and mapped fields extraction.

Reduce load from your application server by offloading indexing into background jobs

Enhance elasticsearch-rails with `elasticsearch_json_changes` to translate the attribute changes into document updates