Latest Videos

Entity Extraction for Product Searches, Sematext

A user looking for “awesome smartphone 2018” is likely really after “+review:awesome +category:smartphone +release_date:2018”. A clever use of (e)dismax might get us pretty close to where we want, but it’s not real query understanding. There are other ways, of course, like training a model that will, based on the keyword, guess which field it’s looking into.

What is an App in Sematext Cloud

Your software stack likely consists of web servers, search engines, queues, databases, etc. Each part of your stack emits its own metrics and logs. Depending on the size of your team and structure, different team members might have permissions to look at one set of data, but not the other. Some data is needed for troubleshooting and can be discarded after just a few days, while more important data might need to be kept for months for legal or capacity planning purposes.

Is observability good for our brain? How about post-mortems?

Your software stack likely consists of web servers, search engines, queues, databases, etc. Each part of your stack emits its own metrics and logs. Depending on the size of your team and structure, different team members might have permissions to look at one set of data, but not the other. Some data is needed for troubleshooting and can be discarded after just a few days, while more important data might need to be kept for months for legal or capacity planning purposes.