Knowledge Graph for AI — Connect Your Graph to LLM Reasoning

I will connect your knowledge graph to an LLM — implementing natural language to Cypher query translation, graph context injection into LLM prompts, and a question answering system that combines graph-retrieved structured facts with LLM language generation. LLM question answering grounded in a knowledge graph combines the precision of structured data with the natural language capability of LLMs — the graph provides exact, verifiable facts about entity relationships that the LLM cannot hallucinate, while the LLM converts graph query results into natural language responses that raw Cypher results cannot provide.

The system covers a Cypher generation prompt for natural language to graph query translation, query execution and result formatting, graph context injection into the LLM synthesis prompt, answer generation with graph source citation, and error handling for unresolvable graph queries.