Table of Contents
What is an Algolia index?
It is the equivalent for search of what a “table” is for a database. Unlike a database table, an index is optimized for search operations. For example, in an ecommerce website, the index would be a complete list of all products with a custom ranking.
What search engine does Algolia use?
Algolia is powered by a search engine built from scratch, implemented in C++, and hosted inside an NGINX server, as an NGINX module. We originally designed the Algolia engine for mobile devices, as an offline, embeddable SDK, before transforming it into an online API.
Why we might want two different indices on the same search key?
Multiple indices are appropriate when you have different kinds of data to index, such as movies, actors, etc. They’re also useful to provide different ranking strategies for the same data, such as most recent movies or highest rated movies.
How do you create an index in Algolia?
You don’t need to create an index explicitly: Algolia creates it automatically the first time you add an object. If you wish to configure your index, the settings section provides details about advanced settings. Since index objects are schemaless, you don’t need any pre-configuration to start indexing.
Is Algolia elastic search?
Elasticsearch is a NoSQL database and search engine developed by Facebook in 2010. On the other hand, Algolia is a search engine developed by Nicolas and Julien in 2012. Elasticsearch is used to store the unstructured data, whereas Algolia offers search APIs to perform searches.
What is facet in Algolia?
Facets let you create categories on a select group of attributes, so users can refine their search. For example, on an index of books, helpful facets might be author and genre. Algolia also calculates results for each facet. Faceting is a common search feature that Algolia provides out of the box.
What is Algolia database?
Algolia was built to answer the shortcomings of database full-text search. It is a SaaS API dedicated to solving application and website developers’ struggles in providing end users with a fast, reliable, and relevant search feature.
What are reasons for not keeping several search indices?
Answer: Reasons for not keeping several search indices include: a. Every index requires additional CPU time and disk I/O overhead during inserts and deletions.
Can you have two primary indices on the same relationship for different keys?
Answer: In general, it is not possible to have two primary indices on the same relation for different keys because the tuples in a relation would have to be stored in different order to have same values stored together.
How do you set up Algolia?
How do I install Algolia?
- Import the data you want to index in the search engine.
- Configure the relevance to fine-tune it to your use-case.
- Implement the search UI/ UX using one of our front-end API clients.
Is Algolia better than Elasticsearch?
Algolia is mainly praised for its speed, easy implementation and excellent support. Typo handling and search analytics are some of the key features it offers. In the case of Elasticsearch, the developer community values its powerful API, that it’s open-source and flexible.
Which is better Algolia or Elasticsearch?
“Ultra fast”, “Super easy to implement” and “Easy setup, fast and relevant” are the key factors why developers consider Algolia; whereas “Powerful api”, “Great search engine” and “Open source” are the primary reasons why Elasticsearch is favored.