Case Study: GraphAware achieves faster production and flexible graph-powered recommendations with Neo4j

GraphAware - Customer Case Study

GraphAware, a London-based Neo4j consulting company, needed a faster way to build graph-driven applications and recommendations, including a holiday house accommodation engine and graph-aided search. The team also used Neo4j for natural language processing and Elasticsearch integration to improve search relevancy based on user graph data.

Using Neo4j, GraphAware went from zero to production on a recommendation engine in just two weeks, then fine-tuned it as data changed. Neo4j’s flexibility and speed helped GraphAware deliver changes faster than with a traditional relational database, support major clients like Airbnb, and grow its customer base.

GraphAware

Christophe Willemsen

Senior Consultant