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Qdrant

Qdrant

Vector search engine for AI retrieval

https://qdrant.tech/

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Recommended for

    • Seed
    • Series A
    • Scaleup
Qdrant cover

Qdrant is an open-source vector search engine written in Rust, providing fast and scalable vector similarity search services with convenient API. It is designed for production-grade AI search and is engineered for real-time retrieval with speed, accuracy, and scale. Qdrant offers expansive metadata filters, including nested, text, geo, has_vector, and more. It is used by companies to make sense of their unstructured data through vector searches. Qdrant has a strong community with over 25k GitHub stars and 60k community members.

Submitted By

Samuel Patel
Samuel Patel

Added On

Mar 23, 2026

Status

Unclaimed

SSIE

Stage Fit Recommendation

Following data shows why Qdrant is recommended for listed teams.

StageStage Fit Reasons
Seed5–15 people with$10k–$100k MRR
  • Per seat pricing from $12 per month
  • Team workspaces included
  • Shared project dashboards
Series A15–50 people with$100k–$500k MRR
  • SSO authentication available
  • RBAC role-based access control
  • Priority support included
Scaleup50–200 people with$500k–$2M+ MRR
  • SOC 2 Type II certified
  • SAML 2.0 single sign-on supported
  • Multi-region data residency options
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