What is Qdrant?
⚡ Quick Summary / TL;DRQdrant is an AI-driven Developer Tools platform designed to vector database for ai search, rag, recommendations, and agent memory.. It is specifically optimized for Developer, Founder seeking to streamline their workflow and enhance productivity.
Overview of Qdrant
Best for
Vector search, RAG, semantic retrieval, recommendations, AI agents, and memory.
Key Features of Qdrant
- 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
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Pricing summary
Free tier available. Standard tier uses usage-based pricing. Premium and enterprise options require minimum spend or custom pricing.
Pricing & Plans for Qdrant
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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