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Conversational Graph Analytics with neo4j
A solution that lets business users interact with a database using natural language - individualized for your specific, business-relevant use case!
Highlights
Accessibility
Natural language as an entry point - the chatbot translates questions into Cypher / GQL and makes graph analyzes usable without special knowledge.
Reliability
Answers are graph-grounded, i.e. h. they are comprehensibly based on actual query results. The hallucination risk is actively reduced by architecture and prompting measures
Insightful value
NeoDash visualizes the results (networks, KPIs, suspicion patterns) and makes the added value of the graph perspective visible at a glance.
Übersicht
Lieferant
Bereitstellungsmethode
Software as a Service (SaaS)
Kategorien
Business Applications, Data & AI, DevOps + 4 weitere Kategorien
Produktbeschreibung
Risk analysis is an inherently graph-based problem: the patterns we seek emerge only from the relationships between data points — not from individual data records. Traditional relational analyses reach their limits here; graph databases like Neo4j natively model these relationships. At the same time, access to graph data is currently limited to experts: anyone without knowledge of Cypher cannot query the data themselves. This solution addresses precisely this hurdle.