Neo4j brings vectors to graph database

Neo4j brings vectors to graph database

Combining the relationships that a graph database provides with capabilities of a LLM can be advantageous, according to Eifrem. He noted that LLMs, while powerful, are fundamentally probabilistic and take a “best guess” at generating the right answer. Eifrem said that deploying an LLM with a graph database provides an opportunity for increased accuracy and can potentially help to reduce hallucination as well.

Read more: https://venturebeat.com/ai/neo4j-brings-vectors-to-graph-database/#:~:text=Graph%20database%20vendor%20Neo4j%20announced,relationships%20across%20data%20and%20content.  

Keywords:  graph database • Knowledge Graph • llm • Thought Leadership • vector search