CockroachDB’s distributed vector indexing tackles the looming AI data explosion enterprises aren’t ready for
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Summary
Data access alone is no longer enough for successful AI operations, with reliable, consistent and accurate access to data now key, according to VentureBeat.
To meet this need, distributed SQL database vendors, such as Cockroach Labs, provide a replicated database platform with high resilience and availability.
CockroachDB 25.2 includes an AI-optimised vector index for distributed SQL scale, core database improvements that improve operations and security, and a 41% efficiency gain.
The update tackles the complex problem of distributed vector indexing, which is commonplace in AI systems for training and Retrieval Augmented Generation (RAG) scenarios.
Vector databases work well on single nodes but struggle on larger deployments with multiple geographically dispersed nodes.
CockroachDB’s approach based on Microsoft research solves the challenge of uniform efficiency at massive scale, self-balancing indexes and maintaining accuracy while underlying data changes rapidly.