NODES AI 2026 – The GraphRAG System That Asks Back: Intelligent Probing with Contextual Answers

Join Rajarshee Dhar and Vivek Singh at NODES AI for this session: “The GraphRAG System That Asks Back: Intelligent Probing with Better Contextual Answers”.

In customer support and technical assistance, resolving user issues is often hindered by vague or incomplete queries. Traditional RAG systems, which depend on semantic similarity, frequently miss the user’s true intent, resulting in less effective answers. This session introduces AID (Assisted Intelligent Dialogue), a knowledge system developed at Cisco to address these limitations and real-world customer challenges.

AID improves standard RAG by leveraging Neo4j graphs for a richer multimodal understanding of information and its relationships. A key feature is AID’s intelligent probing: it generates hypothetical questions and narrows the search space within the graph to find the most relevant contexts. From these, AID crafts clarifying questions, “asking back” to gather missing context and better define user intent through dialogue.

This graph-powered approach enables Cisco to transform unclear customer queries into well-defined problems, delivering more accurate and actionable answers. The session will cover AID’s architecture, multimodal retrieval, dynamic metadata extraction, and how Neo4j empowers intelligent probing and dialogue for a superior support experience. Learn how to build AI systems that interact intelligently to solve complex problems and ensure users get the precise information they need.

Learn more about Neo4j: https://neo4j.com/
Get Started with Aura: https://neo4j.com/product/aura-agent/
Join Free, Self-Paced Online Learning: https://graphacademy.neo4j.com/

#Neo4j #NODESAI #GraphDatabase #AI #GenerativeAI #GraphRAG #KnowledgeGraphs