Enhancing Interaction between Language Models and Graph Databases via a Semantic Layer

Provide an LLM agent with a suite of robust tools it can use to interact with a graph database

Knowledge graphs provide a great representation of data with flexible data schema that can store structured and unstructured information. You can use Cypher statements to retrieve information from a graph database like Neo4j. One option is to use LLMs to generate Cypher statements. While that option provides excellent flexibility, the truth is that base LLMs are still brittle at consistently …

chatgpt graph langchain llm neo4j