Apps4Rent Qdrant – Vector Database on Ubuntu 24.04
Apps4Rent LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
Apps4Rent Qdrant – Vector Database on Ubuntu 24.04
Deploy Qdrant on Microsoft Azure using a preconfigured Ubuntu 24.04 virtual machine from Apps4Rent.
Show the rest of the publisher’s description (29 more lines)
Qdrant is a vector similarity search engine designed for applications that store, search, and manage vector embeddings and associated payload data. It can be used to build semantic search, retrieval-augmented generation (RAG), recommendation, and other AI-powered information retrieval solutions.
Key Features
Qdrant preconfigured on Ubuntu 24.04
Vector storage and similarity search
Collections for organizing vector data
Payload storage and filtering
Semantic search capabilities
Support for AI and RAG application architectures
HTTP API access for application integration
Suitable for development, testing, and production application deployments
Azure virtual machine deployment
Apps4Rent deployment documentation
Common Use Cases
Retrieval-augmented generation (RAG)
Semantic search
AI knowledge bases
Document retrieval
Recommendation systems
Similarity search
Machine learning and AI application backends
Vector data storage and retrieval
Azure Deployment
The virtual machine is designed to provide a straightforward way to deploy Qdrant in your Azure subscription. Customers can select an appropriate Azure VM size based on their expected workload, dataset size, query volume, and resource requirements.
Getting Started
After deployment, customers can configure Qdrant for their application and connect it to their preferred embedding generation, data ingestion, and AI application workflows.
Documentation
Apps4Rent provides deployment documentation to help administrators get started with the virtual machine and Qdrant environment.
Support
Apps4Rent provides documentation and technical support for the Marketplace virtual machine deployment. Qdrant software itself is an independent open-source project.
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
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.