Graph-Database

This week’s material converges on two interrelated tensions in production vector and graph database deployments: the cost of retaining too much (bloated context, token waste, PII exposure) and the engineering trade-offs required to retain less or protect what is stored. Alongside those concerns, benchmark results from the graph database space and a reported 16× vector search speedup offer concrete performance reference points for practitioners evaluating architecture options.