New Delhi, Aug. 19 -- India's AI startup story is increasingly moving beyond the choice of large language models to a harder engineering problem - how those models understand relationships, retain context and work with connected enterprise data.

This is where graph technology comes in. Unlike conventional databases that primarily store information as separate records, graph databases map the relationships between data points - for example, how a customer connects to a transaction, a company to a supplier, or a student response to a learning concept. For AI systems, these connections can provide additional context when retrieving information or generating an answer.

To make it much simpler, think of graph technology as connecting the dot...