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.
Recommended for
SeedSeries AScaleup
SeedSeries AScaleup
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 |
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| Series A15–50 people with$100k–$500k MRR |
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| Scaleup50–200 people with$500k–$2M+ MRR |
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