NODES 2024 – Multi-Agent Query Generation w/ LLMs on Complex Knowledge Graphs

Fabio Montagna will delve into query generation with large language models (LLMs) in the realm of complex knowledge graphs. Our approach targets users demanding precision in results, seamlessly translating natural language utterance into Cypher queries through the integration of multi-agent reasoning, schema-based context, and descriptions.
We’ll unveil how our approach mirrors human cognitive processes, improving the querying experience on large knowledge graphs, drawing from real-world use cases. The examples presented highlight the system’s ability to deliver accurate and efficient results.

The combination of LLMs and expert-inspired query methodologies opens new avenues for navigating the intricate landscape of knowledge querying.

Get certified with GraphAcademy: https://dev.neo4j.com/learngraph
Neo4j AuraDB https://dev.neo4j.com/auradb
Knowledge Graph Builder https://dev.neo4j.com/KGBuilder
Neo4j GenAI https://dev.neo4j.com/graphrag