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Qdrant

Open-source vector search engine with managed Qdrant Cloud and hybrid/private deployment options. It supports vector retrieval patterns for RAG, semantic search, and recommendation systems.

Data status: partially_verified · Checked: 2026-10-16

Good fit if

Self-hosted software and a managed cloud service with API, CLI, and infrastructure automation options.

May not fit if

The free cloud tier is a single-node prototype tier limited to 1 GB RAM and 4 GB disk, without production high availability.

Price

0 USD

Pricing source ↗
Official website ↗

Features and benefits

  • Self-hosted software and a managed cloud service with API, CLI, and infrastructure automation options.
  • Cloud supports dense, sparse and full-text search patterns and offers free inference for selected models.

Limitations

  • The free cloud tier is a single-node prototype tier limited to 1 GB RAM and 4 GB disk, without production high availability.
  • Paid cloud cost depends on cluster resources, backups, and paid inference usage; the pricing page does not state one universal production price.

Pricing

Qdrant Cloud Free Tier

0 USD · free

Free cloud tier for testing and prototypes; single node, 0.5 vCPU, 1 GB RAM, and 4 GB disk. Selected cloud inference models are free; paid models and overages are not represented as free.

Pricing source

Standard Cloud

Price unknown · usage_based

Usage-based hourly billing according to vCPU, memory, storage, backup storage, and paid inference tokens; calculate for the chosen cluster and region.

Pricing source

Sources