The Neo4j NaLLM project aimed to explore, develop, and showcase practical uses of Large Language Models (LLMs) in conjunction with Neo4j. The project focused on three use cases: creating a natural language interface for a knowledge graph, forming a knowledge graph from unstructured data, and a KG and LLM backed application where the LLM isn’t at the center. The findings revealed that LLMs have strong abilities in generating text and code, but also struggle with understanding deeper meanings and autonomously populating knowledge graphs. However, prompt engineering was found to be an essential factor in effectively using LLMs. Despite challenges, the project offers valuable insights into the potential combination of LLMs and Neo4j, forming a strong basis for future research aimed at further developing and refining this technology.