Q About
Qdrant provides a high-performance, open-source vector database and search engine built in Rust. Their technology efficiently stores and searches high-dimensional vector embeddings, enabling fast similarity matching for applications like recommendation systems and Retrieval-Augmented Generation (RAG). Qdrant targets developers building AI-powered applications requiring scalable and reliable vector search, offering both self-hosted and managed cloud deployment options.
Focus Areas
Technology Focus
ml infrastructure search recommendation
Key People 2
- Andre Zayarni
- Andrey Vasnetsov
Quick Stats
- Total Raised
- $10M
- Founded
- 2021
- Status
- private
- Type
- startup
Explore More
Similar Companies
Ranked by shared focus areas, technology, and location.
Zilliz
Redwood City, United States
90%
2 shared categories
3 shared AI types
MLOps & AI InfrastructureRecommendation Systems
Kavak
Mexico City, Mexico
85%
2 shared categories
3 shared AI types
Recommendation SystemsMLOps & AI Infrastructure
DoorDash
San Francisco, United States
85%
2 shared categories
3 shared AI types
Recommendation SystemsMLOps & AI Infrastructure
Jina AI
Berlin, Germany
85%
2 shared categories
2 shared AI types
Same country
Recommendation SystemsMLOps & AI Infrastructure