qdrant and qdrant-multi-node-cluster
The official Qdrant vector database and the multi-node cluster setup are ecosystem siblings, where the latter provides a Docker Compose orchestration layer and monitoring infrastructure for deploying the former across multiple nodes.
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/
Built in Rust for reliability under high load, Qdrant supports extended JSON payload filtering alongside vector similarity search, enabling semantic matching with rich metadata constraints. It offers both REST and gRPC interfaces, with official clients for Python, Go, Rust, JavaScript, Java, and .NET, plus integrations for semantic search, image retrieval, recommendations, and anomaly detection use cases.
About qdrant-multi-node-cluster
Mohitkr95/qdrant-multi-node-cluster
Scalable Qdrant vector database cluster with Docker Compose, monitoring, and comprehensive documentation for high-performance similarity search applications.
Implements dynamic sharding and replication across 3+ nodes with customizable shard counts and distance metrics (COSINE, etc.), coordinated via bootstrap peer discovery. Includes a Python client library and demo application for cluster interaction, alongside production-ready Prometheus/Grafana monitoring with real-time performance dashboards and detailed configuration guides for vector parameters, node scaling, and performance tuning.
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