FalkorDB Reviews & Product Details

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. Review collected by and hosted on G2.com.

I won't call it an entire dislike, but there are some scopes of improvements. For instance, documentation around vector search needs a little more mature touch. Also, the unavailability of ample examples for certain obvious scenarios made it difficult for me to write my article. I had to personally work a lot to see what exactly was the missing piece when I was stuck. Hence good examples and stronger documentation around vector search could potentially be of lot of help. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

one limitation is that you can’t create embeddings on a graph with simple built-in functions—this would make workflows much smoother. However, FalkorDB still stands out as a powerful and user-friendly tool for those looking to integrate graph and vector-based search. Review collected by and hosted on G2.com.

Worked on a FalkorDB-powered GraphRAG application in combination with LlamaIndex. One aspect that stood out was the ultra-low latency—it’s fast and lightweight. The associated ecosystem for graph visualization is also very powerful and intuitive. It’s a would be best choice for anyone building graph-based applications. Highly recommended! Review collected by and hosted on G2.com.

Nothing as such every thing is fast and efficient. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Not much. Could have been more helpful with the cypher query part if possible. Review collected by and hosted on G2.com.