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496x | No Ads

Represents the entire graph as a sparse matrix . It translates complex traversals into parallelized linear algebra operations (matrix multiplication), allowing the CPU to process multiple paths simultaneously. Sample Post for "496x" If you are looking to share this update, Headline: Is Neo4j finally being challenged? 🚀

A new open-source player, , just dropped a bombshell: it’s 496x faster than Neo4j. Represents the entire graph as a sparse matrix

For anyone building or real-time AI agents, this level of latency reduction could be a game-changer. Represents the entire graph as a sparse matrix

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