Qdrant
Vector database for AI search, RAG, recommendations, and agent memory.
About this tool
Best for
Vector search, RAG, semantic retrieval, recommendations, AI agents, and memory.
Key Features
- Open-source vector database for AI applications
- Managed Qdrant Cloud with free and paid tiers
- Supports RAG, recommendations, advanced search, and agents
- API, Terraform, Pulumi, CLI, backup, and scaling options
Pricing summary
Free tier available. Standard tier uses usage-based pricing. Premium and enterprise options require minimum spend or custom pricing.
Pricing
Free Tier
Free vector database cluster for testing and prototypes.
- Single-node cluster
- 0.5 vCPU and 1GB RAM
- 4GB disk
- Community support
Standard Tier
Usage-based managed vector search for production AI apps.
- Dedicated resources
- Flexible vertical and horizontal scaling
- Backup and disaster recovery
- 99.5% uptime SLA
Premium Tier
Advanced security and support for larger AI workloads.
- Minimum spend required
- SSO and private VPC links
- 99.9% uptime SLA
- Premium support
Other pricing notes
- Pricing checked on 2026-07-14 from Qdrant's official pricing page.
- Free tier includes 0.5 vCPU, 1GB RAM, and 4GB disk for testing and prototypes.
- Standard tier is usage-based and premium tier has minimum spend requirements.
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