Knowledge Graph VS Vector Database which is better cure for LLM Hallucination (falkordb.com)

The answer is that both are important. The trick is extracting the nodes and edges from the text automatically (which can be done with transfer learning from a foundation model) and then embed the string so you can search for things like it later, using the keyterms you find (and which are stored in the graph).