Qdrant

Vector search engine for AI retrieval

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.

AI Agents Generative AI Text Generation Free Open Source

Recommended for

Seed StartupSeries AScaleup (Series B-C)

Submitted by

softrankings

Added on

Mar 23, 2026

SIE Stage Fit Recommendation

Following data shows why Qdrant is recommended for listed teams.

Stage	Stage 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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