Qdrant
Vector search engine for AI retrieval
Recommended for
- Seed
- Series A
- Scaleup
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.
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SSIE
Stage Fit Recommendation
Following data shows why Qdrant is recommended for listed teams.
| Stage | Stage Fit Reasons |
|---|---|
| Seed5–15 people with$10k–$100k MRR |
|
| Series A15–50 people with$100k–$500k MRR |
|
| Scaleup50–200 people with$500k–$2M+ MRR |
|
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