qdrant
Creating advanced vector search technology
Funding Links: https://github.com/sponsors/qdrant
- Name: Qdrant
- Location: Germany
- Kind: organization
- Followers: 1114
- Following: 0
- Total stars: 26209
- Repositories count: 100
- Created at: 2022-11-14T09:13:50.124Z
- Updated at: 2025-03-24T18:50:04.867Z
- Last synced at: 2025-03-24T18:50:04.867Z
GitHub Sponsors Profile
Qdrant brings applied IA solutions to the next level making metric learning practical. Its flagship product - an open source neural search engine provides a production-ready service with a convenient API to store, search, and manage vectors along with the additional payload.
Qdrant is tailored to extended filtering support making it useful for all sorts of neural-network or semantic-based matching, recommendations, faceted search, and other applications.
Our core team is based in Berlin but most of the team members are distributed around the world and are working remotely. We are looking for sponsors, contributors and early adopters!
We plan to use the funds to reward contributors and improve our open source product.
- Current Sponsors: 2
- Past Sponsors: 5
- Total Sponsors: 7
- Minimum Sponsorship: $5.00
Featured Works
qdrant/qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Language: Rust - Stars: 22826qdrant/awesome-metric-learning
😎 A curated list of awesome practical Metric Learning and its applications
Language: - Stars: 502Active Sponsors
Past Sponsors
Sponsor Breakdown
- User: 6
- Organization: 3