Build online shopping experiences that convert
With Algolia Search, developers can rely on a simple and robust API to compose any search experience in the context of their companies’ applications. It democratizes the development of any search capability. The power of API building blocks supported by the flexibility of composing beautiful UIs, enables any developer to build applications and drive business results faster. From ecommerce to media, Algolia Search powers search and discovery experiences everywhere.Start building for freeGet a demo
Leverage advanced front-end libraries, 14 API clients, and extensive documentation to quickly and easily build differentiated experiences, anywhere.
Customize the relevance of your search experience and get insights into how users interact with it. Launch A/B tests and search analytics via APIs or a user-friendly dashboard.
From unmatched speed to our AI capabilities, Algolia Search comes with continuously expanding capabilities at scale to achieve your goals.
Automatically extract and enrich your website content
Start in minutes, leverage Algolia’s full capabilities
A set of UI components to design the perfect experience
Focus on building, Algolia ensures performance and reliability at scale
Index content from any source
Keep your users and your data safe
Understand your users, uncover hidden opportunities
Get control over Search and Discovery to reflect your business goals
Uncover the best performing relevance strategies
Optimize results ranking for your users’ queries
Create your own relevance algorithm
AI generated synonyms to get users to relevant results no matter the words they use
Tailor the Search and Discovery to your users
Optimizes the ranking of results for each search for higher conversion rate
Guide your users to the right content with personalized search autocomplete
Build online shopping experiences that convert
Build personalized search and navigation experiences for B2B ecommerce
Connect your customers to the right content, and your employees to the right information.
Build performant marketplace search at scale
Internal search engine that drives engagement, increases loyalty, and retains users
Build powerful software that retains users and help their productivity.
Deliver rich eCommerce experiences everywhere to anyone.
Accelerate engagement and conversion on mobile devices and apps
Provide seamless experiences to users who choose to use their voices instead of your search box
Build image search for your website or app.
Richard Migette,E-commerce Project Leader at Decathlon Singapore
What first impressed us was Algolia’s performance and reliability. Thanks to their distributed infrastructure, the search experience is always working, and always fast. This allows us to focus on shaping the solution to our needs instead of maintaining itRead the case study
Really fast. Most of our search queries take from 1 to 20 milliseconds to process. That’s up to 200 times faster than our competitors.
That said, query performance depends on many factors, from the size of the data you’re searching through to how CPU-intensive a query is. For example, features like geo-sorting and distinct are more “expensive”.
Our ability to achieve unparalleled speed relies on a multitude of features, many of which we outlined in this blog post. For instance, the Algolia engine handles the vast majority of computation at indexing time, as opposed to query time. Beyond this, we control the full stack end-to-end. We’ve obsessed over every detail, from obtaining high-quality infrastructure (bare-metal servers) to crafting our own Ubuntu-based operating system, painstakingly modified for search engine performance.
To ensure queries are fast all around the world, we’ve also created our Distributed Search Network (DSN). This lets you automatically duplicate your search engine and data in multiple locations across the world. This is a complete copy of the search engine with all data, not just a cache. When your users perform a search, their queries reach the closest data center, significantly reducing the latency of the request. Learn more here.
An index is the place where the data used by a search engine is stored.
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. Learn more here.
Of course! All the features that make Algolia great on desktop make it even better on mobile.
We’ve designed our infrastructure to handle dozens to thousands of indexing operations per second. The speed depends on many factors. It generally takes more time if you’re on a shared cluster than when your plan includes a dedicated one, because shared cluster also share processing threads.
In most cases, the engine processes indexing operations in a matter of seconds, and search operations in a few milliseconds. Learn more here.
Our engine is language-agnostic: it supports alphabet-based and symbol-based languages (such as Chinese, Japanese or Korean). This is no easy feat, considering all the little and big differences languages have, from being based on symbols from different alphabets like Japanese or using many variants of the same stem like in German. So we added advanced capabilities to handle the specificities of such languages.
You can get it up and running in 5 minutes total. The most complex implementations can take a few weeks. Most of our users end up with a fully functional search 1 to 10 days after they sign-up. Because Algolia handles most of the back-end heavy-lifting, most of the work is usually to redesign and rethink the user experience of your website or application. Don’t hesitate to contact the support team if you happen to have a question. Learn more here.
Algolia Search can power search for any kind of content. Actually Algolia doesn’t directly search in your original data source, but in the data you submit, which Algolia hosts on its servers.
Search APIs are software components that allow developers to seamlessly introduce search capabilities to websites and applications. They provide backend tools for indexing documents, querying various types of data, managing cluster configurations, viewing search analytics, and more.