FalkorDB

Our objective is to create an outstanding Knowledge Graph specifically for Large Language Models (LLM) that boasts exceptionally low latency, ensuring swift delivery of information through our Graph Database, known as KG-RAG.

FalkorDB is the first queryable Property Graph database to use sparse matrices to represent the adjacency matrix in graphs and linear algebra to query the graph.

Primary features:

• Adopting the Property Graph Model Nodes (vertices) and Relationships (edges) that may have attributes Nodes can have multiple labels Relationships have a relationship type
• Graphs represented as sparse adjacency matrices
• OpenCypher with proprietary extensions as a query language Queries are translated into linear algebra expressions