This article introduces Ontographia, a new approach to querying graph databases like Neo4j. Instead of letting Large Language Models (LLMs) directly write Cypher queries, Ontographia uses an LLM to generate a structured 'Intent' based on user questions. This Intent is then validated against the database's ontology by a deterministic pipeline, which compiles it into a safe and auditable Cypher query. This method aims to overcome the limitations of both direct LLM query generation and rigid template-based systems by separating the LLM's role to intent extraction and ensuring query integrity through a validation process. AI
IMPACT This approach could improve the reliability and auditability of LLM-driven database querying by separating intent extraction from query generation.
RANK_REASON The article describes a specific technical approach and implementation for interacting with a database, rather than a new model release or significant industry event.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
