Bonsai Blog

Things AI should know about search. At least 50 of them. By Doug Turnbull.

Search is a perpetually frustrating feature. Even the standard search experience remains hard to build, hard to maintain, and hard to improve.

Even if you have a small dataset to search, there’s always more to do than return an alphabetically sorted list. Search is a user experience puzz…

OpenSearch is a community-driven, open-source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2.

It’s a very common intuition that more scale must mean more shards. And the ease of creating more indices and more shards means that many use cas…

Elasticsearch is a distributed, RESTful search and analytics engine that is used to query, index, and store JSON data. While Elasticsearch has ma…

Search has become a hot topic. ML-powered search is pointing the way toward significantly more powerful search engines. Meanwhile, AI-based chat …

What can your team do to get better performance out of Elasticsearch, while at the same time reducing costs?

Developers worldwide worked through the weekend to defend against the Log4J vulnerability.

The most efficient way to create anything complex is to begin with the first principles.

Want to find a needle in a haystack? Just drop the haystack into a search engine, type “needle” into the query box, and click Search.

Just a few years ago, user experience in design was seen as an afterthought.