What is Algolia?
Algolia uses machine learning (ML) to offer artificial intelligence (AI) powered search, discovery & recommendations via a set of API clients (web3 toolkits or SDKs) that come in languages ranging from Javascript, Swift to Kotlin.


Algolia uses machine learning (ML) to offer artificial intelligence (AI) powered search, discovery & recommendations via a set of API clients (web3 toolkits or SDKs) that come in languages ranging from Javascript, Swift to Kotlin.
"Algolia is a hosted search engine, offering full-text, numerical, and faceted search, capable of delivering real-time results from the first keystroke. Algolia's powerful API lets you quickly and seamlessly implement search within your websites and mobile applications. Our search API powers billions of queries for thousands of companies every month, delivering relevant results in under 100ms anywhere in the world."
AI powered search, recommendations & analytics via pre-built front-end components.
Algolia's mission is to create the worlds best instant search and discovery experiences via a value proposition centered around Search, Recommendations & Analytics that can be quickly implemented into your website using their pre-built frontend components.
"When we started Algolia, we had a simple but challenging vision: create blazing fast, instant, and relevant search and discovery experiences. We extended this vision to deliver dynamic experiences that will enable businesses to quickly predict a visitor’s intent on their digital property (web, mobile, or other) in real-time, in a session, in the moment."
Algolia Search

Algolia Search is Algolia's search API that offers developers a robust web3 toolkit (SDK) that allows them to compose any search experience in the concept of their company or clients application.
This package offers pre-built Instant Search components in 6 packages that include Vue.js, Javascript, Angular JS, iOS, React & React Native as well as Android. Allowing a developer to build search experiences within seconds.
How does Algolia Search Work ?

Algolia works by searching through index's of schemaless data that can be queried via a search interface. These queries can be enhanced via rules that allow you to elevate certain objects above others and are dynamically updated over time, via a "Search Feedback Loop" which uses ML to take into consideration customer input via analytics, to align with the content that is most valuable for your customer.
Algolia Recommendations

Algolia Recommend is Algolia's recommendation engine that uses Machine Learning to identify objects (i.e. blog posts or products) which are closely linked & offers them to your customer to allow them to more broadly explore your site.
Algolia Recommend offers two recommendation models:
- Frequently Bought Together
- Related Products
Algolia Recommend generates recommendations by looking at:
- Your data indexed into Algolia
- Your users’ interactions captured through the Insights API
How does Algolia Recommend work ?

"Under the hood recommendations rely on supervised machine learning models and the Algolia foundation.
For both models, the data corresponding to the past 30 days is collected. This results in a matrix where columns are
userToken
s and rows areobjectID
s. Each cell represents the number of interactions (click and/or conversions) between auserToken
and anobjectID
. Then, Algolia Recommend applies a collaborative filtering algorithm: for each item, it finds other items that share similar buying patterns across customers. Items would be considered similar if the same users set interacted with them. Items would be considered bought together if the same set of users bought them."
Algolia Analytics

Algolia Analytics is Algolia's analytics engine for its search and recommendation capabilities. Algolia offers this out of the box via their pre-built components but can be designed into custom UI using their API documentation.
This particular capability separates Algolia from its competitors due to its intuitive, real-time analytics dashboard that allows you to understand what your customers are searching for, interacting with and clicking on.

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