qdrant and qdrant-operator

The Qdrant operator is a Kubernetes management tool that deploys and operates the Qdrant vector database itself, making them complements rather than alternatives—you would use the operator to manage Qdrant clusters in production Kubernetes environments.

qdrant
81
Verified
qdrant-operator
29
Experimental
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 7/25
Stars: 29,544
Forks: 2,095
Downloads:
Commits (30d): 214
Language: Rust
License: Apache-2.0
Stars: 24
Forks: 2
Downloads:
Commits (30d): 0
Language: C#
License: MIT
No risk flags
Stale 6m No Package No Dependents

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.

AI-application-development semantic-search recommendation-engines machine-learning-operations data-science

About qdrant-operator

qdrant-operator/qdrant-operator

Qdrant operator creates and manages Qdrant clusters running in Kubernetes

This tool helps Kubernetes administrators set up and maintain Qdrant vector databases within their Kubernetes environments. You provide configuration details for your Qdrant clusters and collections, and it automatically handles the deployment and management tasks. This is for infrastructure engineers or DevOps specialists responsible for deploying and managing AI/ML infrastructure.

Kubernetes administration Vector database deployment Infrastructure as Code DevOps Cloud infrastructure

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