qdrant and qdrant-operator
The Kubernetes operator is a deployment and lifecycle management tool for the vector database itself, making them complements that are used together rather than alternatives.
About qdrant
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
This helps AI developers and data scientists build and manage powerful search, recommendation, and classification applications. It takes high-dimensional numerical data (vectors/embeddings) and associated information (payloads) as input. It then allows users to quickly search for similar items, apply complex filters, and power various AI applications, making it ideal for those working with neural networks and semantic data.
About qdrant-operator
ganochenkodg/qdrant-operator
Kubernetes operator for Qdrant
Automates deployment and lifecycle management of Qdrant vector database clusters on Kubernetes using custom resources (QdrantCluster and QdrantCollection), handling multi-node cluster scaling, TLS encryption, and API key authentication. Supports collection management with configurable replication and sharding, instant and scheduled snapshots to S3-compatible storage, and runs with leader election for high availability across cluster nodes.
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