Vector Database vs. Graph Database for AI: When to Use Each and When to Combine Them

Vector Database vs Graph Database by falkordb

Vector databases retrieve semantically similar content from embeddings. Graph databases retrieve explicit entities and relationships through traversals. Use vectors when similarity is enough; use graphs when an AI application must reason across connected facts, multi-hop relationships, provenance, or permissions. Many production AI systems combine both approaches: vector search finds the relevant content, and graph traversal […]

Efficient State Machine Modeling Using FalkorDB

img 3 FalkorDB

The latest release of FalkorDB V4.0.5 includes a new ability to easily clone graphs. In this blog post we’ll be developing a state machine framework where a machine is represented by a graph. Whenever a FSM (finite state machine) is executed a copy of the initial graph is created and the execution is bound to that […]