A search engine needs to “process” the language in a search bar before it can execute a query. The process could be as simple as comparing the query exactly as written to the content in the index. But classic keyword search is more advanced than that, because it involves tokenizing and normalizing the query into smaller pieces – i.e., words and keywords. This process can be easy (where the words are separated by spaces) or more complex (like Asian languages, which do not use spaces, so the machine needs to recognize the words).

Artificial intelligence has been built on the back of vector arithmetic. Recent advances show for certain AI applications this can actually be drastically outperformed (memory, speed, etc) by other binary representations (such as neural hashes) without significant accuracy trade off.

Query Categorization is now available in public beta as of September 27, 2022.

Algolia customers under the premium plan can access Query Categorization directly from their Algolia dashboard and experience this new and impactful capability for themselves.

On September 14th and 15th, 2022, Algolia ran a conference called DevCon — check out the recap and view presentation videos here.

Here at Algolia, we’re a bunch of hobbyists at heart. We’re not just building for the Fortune 500, we’re also building for the tinkerers. That’s why we’ve put so much effort into tools like DocSearch — we love anybody with the giving-back, open source software mindset behind tools like Astro, Home Assistant, and SASS just as much as React, Twilio, and Discord.

Here at Algolia, we store a lot of data. And at such large scales, that efficiency has become our number one concern — but how do we manage to fit so much input data into an index that we can search through in milliseconds?

The effectiveness of Instagram ads can be optimized by leveraging AI tools for product recommendations. Trends is a set of new models within Algolia Recommend that enable teams to create experiences that can dynamically adapt to emerging trends, removing the need for manual editorial curation

We’re excited to announce the launch of our Algolia Recommend Spring Release 2022. Algolia Recommend is an AI-based recommendations engine integrated with our Search and Discovery Platform that connects users with the most relevant, actionable recommendations.

We think it’s fair to say we are experts on site search. We have over 9000 customers large and small, including some of world’s top brands like Under Armour, Lacoste, Medium and Twitch.