QdrantVector
pcloudhosting · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Qdrant Vector is a high-performance vector database designed for managing, storing, and searching high-dimensional vector embeddings. It enables efficient similarity search for AI, machine learning, recommendation systems, and other applications that require fast and accurate vector search. Qdrant provides a REST API and real-time indexing for building scalable, AI-driven solutions.
Features of Qdrant Vector:
Show the rest of the publisher’s description (12 more lines)
- Efficient storage and search of high-dimensional vectors.
- Real-time indexing and fast similarity search for AI applications.
- REST API and client support for Python, Node.js, Go, and Rust.
- Flexible data persistence and scalable deployment using Docker or cloud environments.
- Integration with machine learning pipelines and vector embeddings workflows.
To check the version of Qdrant running in Docker, run the following command:
$sudo su
$cd /opt/qdrant
$docker ps
Test quadrant : $curl http://localhost:6333
Access on broswer : http://YOUR_SERVER_IP:6333/dashboard
Disclaimer: Qdrant Vector is an open-source vector database designed for AI and machine learning workloads. Users are responsible for deploying containers, managing data storage, configuring APIs, and ensuring security. While Qdrant provides fast and scalable vector search, proper setup and maintenance are essential for reliable and secure operation.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.