
Native architecture for vectors
Specifically designed for large-scale vector storage and search, unlike traditional databases that are adapted.
Efficient support for dense and sparse embeddings, essential for modern AI models. Review collected by and hosted on G2.com.
Operational and deployment complexity
Intricate distributed architecture: Multiple components (coordinators, workers, etc.) require separate configuration and monitoring.
Heavy infrastructure dependency: Need for Kubernetes or container orchestration for production deployment.
Limited standalone version: The "standalone" version is not suitable for production, only for testing. Review collected by and hosted on G2.com.
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Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.
This review has been translated from Portuguese using AI.


