We design self-learning search technology.
Customer intent is a powerful and under-utilised analytics tool.
Error reporting from browser side applications can be tricky. Unlike backend systems, your code is running in an environment that you have very little control of, and as a result is much harder to manage.
How learn-to-rank and reinforcement learning techniques differ, and how we use both at Sajari.
A quick and easy replacement for google site search (GSS) now that it has been deprecated.
2016 was a massive development year for our team. This post is a quick look at some of the larger changes, why we made them, what we learnt and how these changes have set the foundation for the future.
golang interfaces are extremely useful for standardising things such as file storage. This talk shows how.
Now that Google Search Appliance has been discontinued, now is the time to start planning your search migration.
Kubernetes has transformed the way Sajari develops our backend infrastructure. This article is a brief intro into why we made the choice to use it.
JSON based REST is slow and clumsy once you begin to use gRPC. We've given up almost all our REST based APIs and this article explains why.
Go 1.5 is a major milestone release, so we took the time to run some tests and see what the impact was for Sajari.
Read about zero-copy, realtime search indexes and how they're powering a new hybrid search engine with amazing possibilities.
Sajari uses the Go language as part of the core technology. Binary encoding is one of the keys to a super fast search index.
Duplicate document detection can be done in many ways, Sajari is designed to make that as flexible for businesses as possible.
Your website is likely leaking sales, leads and page views to your competitors or of course, Another Google Search.
Site search shows users direct intent, yet it is largely unmonitored and ignored.