Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Qdrant is a high-performance open-source vector database designed for semantic search, retrieval-augmented generation (RAG), recommendation systems, and AI-powered applications using vector embeddings.
Overview
Qdrant is an open-source vector database built for storing, indexing, and searching high-dimensional embeddings generated by machine learning models. It provides fast similarity search, payload filtering, distributed deployment capabilities, and a REST/gRPC API for seamless integration with AI applications.
Qdrant is commonly used in Retrieval-Augmented Generation (RAG), semantic search, recommendation engines, document retrieval, chatbot memory systems, and other AI workloads that require efficient vector storage and nearest-neighbor search. With support for Docker, Kubernetes, and cloud-native deployments, Qdrant scales from development environments to production-grade AI infrastructure.
Highlights
- Optimized approximate nearest neighbor (ANN) indexing for fast and accurate similarity search.
- Native support for embeddings, metadata filtering, REST/gRPC APIs, and scalable deployment options.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.03 |
t3.micro | $0.03 |
t2.micro | $0.01 |
m5.large | $0.03 |
t2.small | $0.03 |
r5.large | $0.03 |
m3.large | $0.03 |
t2.xlarge | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of June/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands:
#sudo docker ps
If docker not started then run :
#docker run -d
--name qdrant
--restart unless-stopped
-p 6333:6333
-p 6334:6334
-v /opt/qdrant/storage:/qdrant/storage
qdrant/qdrant:latest
#curl http://localhost:6333/ To access Qfrant UI : http://YOUR_SERVER_IP:6333/dashboard
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
Qdrant is an open-source and fully managed high-performance Vector Database. The vector search engine provides a production-ready service with a convenient API to store, search, and manage vector embeddings.
This product has charges associated with it for seller support. Qdrant, the open source vector database for AI and similarity search, preinstalled and ready to use over a RESTful HTTP API. A per instance API key is generated on first boot. Backed by 24/7 cloudimg support.
This product has charges associated with it for seller support. Qdrant is an open source, high performance vector database and similarity search engine designed for AI, machine learning, and semantic search applications.
This production-ready AMI delivers a pre-configured stack featuring Qdrant vector database, LangChain, LlamaIndex, and MinIO. Designed by Intuz for AI developers building RAG, semantic search, and ML-powered applications on AWS.
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