Imago Platform adopts Neo4j graph databases to improve AI knowledge accuracy
Overview
Imago Platform co-founder Magnus Helander says the company's AI model could not reach 100% accuracy on product warranty questions until it adopted Neo4j graph databases.
Helander says graphs connect related business data, giving the model context and reducing hallucinations, and let developers trace each step an AI agent takes.
The company, founded 18 months ago, serves Swedish clients including lighting and electrical businesses, property managers and car dealerships.
Written by AI from the articles below · updated Oct 13, 7:30 PM ET
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- SiliconANGLE · AINewsImago Platform uses graph databases to make AI knowledge management more accurate
AIImago Platform co-founder Magnus Helander says the company's AI model could not reach 100% accuracy on product warranty questions until it adopted Neo4j graph databases. Graphs connect related business data, giving the model context and reducing hallucinations, and they let developers trace each step an AI agent takes. The company, founded 18 months ago, serves clients in Sweden including lighting and electrical businesses, property managers and car dealerships.
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