elasticsearch is a distributed, RESTful search engine capable of addressing a growing number of use cases. Its first vocation was to be used like a powerful full-text search engine.
You know, for search.
Published on 2019-11-16 • Modified on 2019-11-29
In this third and last part, we will continue to improve our search engine. First, we will enhance our elasticsearch stack with Kibana. Then, we will implement an autocomplete using an elasticsearch suggester.
Published on 2019-10-28 • Modified on 2019-10-28
This is the second part of the tutorial. In this post, we will see how to improve our search engine to make is much more relevant. We will use an alias, create a custom command to populate the index. We will tune the search applying boosts to some fields and eventually, we will paginate the result list.
Published on 2019-09-22 • Modified on 2020-01-12
In this post, we will see how to create a full-text search engine with elasticsearch in a Symfony application. We will use Docker compose to set up an elasticsearch stack. We will try to keep the configuration as minimal as possible keeping the sensible default components values. In the end, on this website, we will able to search for articles and snippets matching one or several keywords.