I am a blogger working on an article exploring the combination of vector search and knowledge graphs. I happened to come across FalkorDB. The platform is amazing and very simple to use. Since I was working on Google Colab as my platform for code deployment, I used FalkorDB's cloud capabilities to deploy my knowledge graphs. Within no time, the instance in AWS was up and running and I was provided with a node at my disposal. I am a DevSecOps Engineer by profession and hence I understand the complexity of setting up the infrastructure from scratch and am mighty impressed with the ease with which setup was done. Also, the LnF of UI is fabulous. I could visualize the graphs very easily and make sense of them.

I've been using FalkorDB to implement a GraphRAG workflow, and it has been a great experience overall. The cloud connection is seamless, and I love that it supports both GraphRAG and vector stores in a single system. The user interface is intuitive and easy to navigate, making it accessible even for those new to graph-based solutions.

What I like best about FalkorDB is its incredible performance as a graph database. I still get consistent performance even if I scale the graph. It is well supported by common LLM frameworks. The graph visualization and browser part is really good and convenient.