Graph databases like Neo4j are an excellent tool for creating recommendation engines. They allow us to examine a large context of a data point potentially comprising various data sources. Their powerful storage model is very well suited for applications where we want to analyze the direct surrounding of a node. If you would like understand what makes graphs so powerful in comparison with relational models, read here. In this article, I describe how we implemented a simple recommendation engine directly in Neo4j using only Cypher. The approach bases on basic NLP and simple conditional probabilities to find the most likely matching item.

A significant number of apps already include AI technology. When it comes to using AI, productivity tools aren't running behind compared to other apps. Here are some of the best productivity applications that use AI to make tasks easy for you. Otter.ai is a virtual meeting assistant and bot that helps you in managing online meetings. The company developed an AI-based algorithm that continuously learns from your actions and tasks.