Build a Realtime Recommendation Engine: Part 2

This is part 2 of a two-part series on recommendations using Dgraph. Check our part 1 here. In the last post, we looked at how many applications and web apps no longer present static data, but rather generate interesting recommendations to users.

Build a Realtime Recommendation Engine: Part 1

Preface In today's world, user experience is paramount. It's no longer about basic CRUD, just serving user data; it's about mining the data to generate interesting predictions and suggesting actions to the user.

String matching in Dgraph v0.7.5

The recent release of Dgraph is packed with new features and improvements. Many of them are related to strings - full text search (with support for 15 languages!) and regular expression matching have been added, and handling of string values in multiple languages was greatly improved. All of these changes make Dgraph an excellent tool for working with multilingual applications.

Releasing Dgraph v0.7.1

Dgraph team is super excited to present v0.7.1 of Dgraph . This version is the biggest step we've taken towards our production aim of v1.0. We've implemented 90% of all the features we had planned in our product roadmap, including replication and high-availability using RAFT protocol, indexing, filtering, sorting, geospatial queries, and backups.