Qdrant
Apache-2.0 vector database and similarity-search engine written in Rust, run on the user's own infrastructure.
Apache-2.0 confirmed via api.github.com/repos/qdrant/qdrant (34,644 stars, last pushed 2026-09-17). The managed editions are recorded separately.
What it does
- Vector search
- Knowledge retrieval
Sources
- Pricing
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Official documentation · 18 Sep 2026
Licence read from the GitHub API's own license field: Apache-2.0.
- Description
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Official documentation · 18 Sep 2026
Product page, fetched 2026-09-18: 'Qdrant is the most advanced vector search with highest RPS, minimal latency, fast indexing, high control with accuracy.' The repository describes it as a 'High-performance, massive-scale Vector Database and Vector Search Engine'.
- Sold within
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Official documentation · 18 Sep 2026
Downloaded and run on its own under the open licence.
- URL
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Official documentation · 18 Sep 2026
Fetched 2026-09-18, 200; first item in Qdrant's own Products nav.
Also from Qdrant
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Qdrant Cloud Data service
Managed Qdrant clusters on AWS, Google Cloud and Azure, with a free single-node tier and consumption billing above it.
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Qdrant Hybrid Cloud Data service
Qdrant's managed control plane over clusters a customer runs in their own Kubernetes, in any cloud, on-premises or at the edge.
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Qdrant Private Cloud Data service
Fully on-premise Qdrant deployment for buyers who cannot let a vendor-run control plane touch their environment.
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Qdrant Cloud Inference API service
Embedding generation run inside Qdrant Cloud so text or images are vectorised and searched in a single API call.
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Qdrant Edge Data service
In-process vector search engine for embedded devices, autonomous systems and mobile agents, in beta.
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Qdrant Serverless Data service
Announced serverless edition of Qdrant Cloud in which a collection is created and queried with no cluster to size or scale.
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