Sold by: Lynxroute
Deployed on AWS
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This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
Qdrant is an open-source, high-performance vector database for AI and semantic search - used in RAG pipelines, recommendation systems, LangChain, LlamaIndex, and any workload requiring similarity search over embeddings. This Lynxroute build is security baked in: unique API key at first boot, UFW firewall pre-configured, and CIS Level 1 hardened Ubuntu 24.04 LTS base.
Web UI included. fastembed pre-installed for local embedding without external API calls.
Apache-2.0 license - fully auditable, no vendor lock-in.
Overview
This is a repackaged open source software product wherein additional charges apply for hardening, security configuration, and setup support.
WHAT IS QDRANT
Qdrant is a high-performance vector similarity search engine and database written in Rust - it stores embedding vectors with structured payloads, then serves approximate-nearest-neighbour (ANN) queries with optional payload filtering, hybrid sparse + dense search, multivector indexes and quantization. The server exposes REST and gRPC APIs and ships with a built-in web UI for collection browsing, point inspection and query playground. Operators get HNSW indexing, on-disk vector storage with configurable RAM caching, snapshots for backup, and a managed embedding pipeline through fastembed. Integrates natively with LangChain, LlamaIndex, Haystack and any OpenAI-compatible client. Apache-2.0 license - lock-in-free alternative to Pinecone, Weaviate and other proprietary vector services, with full Rust source for every component.
WHAT THIS AMI ADDS
Security hardening:
- Unique API key generated per instance at first boot
- UFW firewall - ports 22, 6333, 6334 only
- fail2ban, AppArmor
OS hardening (CIS Level 1):
- CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
- auditd, SSH hardening, Kernel hardening, IMDSv2 enforced
Compliance artifacts:
- SBOM - CycloneDX 1.6 at /etc/lynxroute/sbom.json
- CIS Conformance Report at /etc/lynxroute/cis-report.html
- CIS Tailored Profile at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
Highlights
- Qdrant security baked in: unique API key per instance, UFW firewall pre-configured.
- CIS Level 1 hardened Ubuntu 24.04 LTS: auditd, fail2ban, AppArmor, SSH key-only, IMDSv2 enforced. CVE-scanned before every release. SBOM (CycloneDX) and CIS Conformance Report included.
- AI-ready out of the box: fastembed pre-installed, Python SDK included - start building RAG pipelines in minutes.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.05 |
m6i.2xlarge | $0.05 |
m6i.large | $0.05 |
m6i.xlarge | $0.05 |
t3.large | $0.05 |
Dimensions summary
You pay by the hour based on the EC2 instance size you choose. All five options run the same hardened vector database image, so pricing changes only with compute capacity. The t3.medium and t3.large run on burstable instances suited to lighter or variable workloads. The m6i.large, m6i.xlarge, and m6i.2xlarge run on general-purpose instances with steadier compute, scaling up in size. Larger instances carry a higher hourly rate. You stop paying when you terminate the instance. AWS handles all billing through the marketplace.
Top-of-mind questions for buyers
Each option runs the same hardened vector database on Ubuntu 24.04. The instance name sets your compute capacity. The t3.medium and t3.large use burstable CPU for lighter or variable work. The m6i.large, m6i.xlarge, and m6i.2xlarge give steadier compute, scaling up in size.
The software is metered by the hour while the instance runs. When you terminate the instance, hourly software charges stop. Stopped instances may still incur underlying AWS storage fees from Amazon, but the hourly software rate meters running time only.
No separate charge is listed. Each image ships with a bundled SBOM and CIS Conformance Report. Lynxroute publishes rebuilds on a monthly cadence as new marketplace versions and provides support with a 24-hour response target. You apply updates by migrating to a newer release yourself.
lynxroute.com
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Vendor refund policy
We do not offer refunds for this product. AWS infrastructure charges (EC2, EBS, data transfer) are billed separately by AWS and are not refundable by us. If you experience technical issues with the AMI, please contact us at support@lynxroute.com before requesting a refund.
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Vendor terms and conditions
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Qdrant 1.20.0 r2
- Security: fixes CVE-2026-111497, a critical (CVSS 9.8) buffer overflow in the Brotli decompression library that lets a crafted compressed stream crash a process or execute code. Ships Ubuntu brotli 1.1.0-2ubuntu0.1 (USN-8956-1). Every earlier image of this product carries the vulnerable library; replace running instances or run: sudo apt-get update && sudo apt-get install --only-upgrade libbrotli1 brotli python3-brotli
- The application version is unchanged (Qdrant 1.20.0); this is a security rebuild
- Rebuilt on the latest CIS Level 1 hardened Ubuntu 24.04 LTS base, picking up every operating-system security update published since the previous build
Additional details
Usage instructions
- Launch instance (t3.medium recommended)
- Open Security Group - allow TCP 6333 from your IP
- SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
- Read credentials: sudo cat /root/qdrant-credentials.txt
- Open http://<PUBLIC_IP>:6333/dashboard in your browser
- Use the API key from credentials file to authenticate
Credentials are saved to /root/qdrant-credentials.txt at first boot. For production use, restrict port 6333 to trusted IPs only.
Resources
Vendor resources
Support
Vendor support
Lynxroute is not affiliated with Qdrant Solutions GmbH - this AMI packages the Apache-2.0 open-source Qdrant binary; "Qdrant" is a trademark of Qdrant Solutions GmbH.
Visit us online: https://lynxroute.com
For Qdrant documentation: https://qdrant.tech/documentation/ For Qdrant upstream issues: https://github.com/qdrant/qdrant/issues For AWS infrastructure issues:
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.
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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 is an open source, high performance vector database and similarity search engine designed for AI, machine learning, and semantic search applications.
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.
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