Qdrant(Vector)
kCloudHub LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Qdrant Vector Database 1.18.3 is an open-source vector database and similarity search engine designed for AI applications, semantic search, recommendation systems, and retrieval-augmented generation workloads. It allows developers and administrators to store, manage, and search high-dimensional vector data efficiently using REST API, gRPC API, and a built-in web dashboard.
The solution supports common vector database workflows including vector collection management, similarity search, metadata payload filtering, semantic search, AI data storage, and RAG-based application development. It is ideal for AI applications, machine learning projects, recommendation systems, intelligent search platforms, and developer environments.
Show the rest of the publisher’s description (23 more lines)
Features of Qdrant Vector Database 1.18.2:
- Open-source vector database for AI and machine learning workloads.
- High-performance similarity search and nearest-neighbor search.
- Built-in web dashboard to manage collections and vectors.
- REST API and gRPC API support for application integration.
- Supports vector payload metadata and advanced filtering.
- Persistent Docker-based storage for standalone deployment.
- Suitable for semantic search, recommendations, RAG, and AI applications.
- Runs without API key by default for testing and development use cases.
Usage instructions for Qdrant Vector Database 1.18.2
$ sudo su
$ cd /opt/qdrant
$ docker compose up -d
$ docker ps
$ curl http://localhost:6333/
Credentials Saved in: No API key or credentials required by default
Access the Qdrant Web Dashboard:
Open your browser and navigate to: http://your-server-ip:6333/dashboard
Check Qdrant version:
curl http://your-server-ip:6333/
REST API endpoint:
http://your-server-ip:6333
Disclaimer: Qdrant Vector Database is provided “as is” under applicable open-source licenses. Users are responsible for proper configuration, network security, API access control, data protection, and production hardening. This solution is best suited for vector search, semantic search, recommendation systems, RAG applications, and AI database workloads in development and production environments.
Agent build and provenance
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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
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