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    Qdrant - Hardened Vector Database for AI on Ubuntu 24.04

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    Sold by: Lynxroute 
    Deployed on AWS
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    This product has charges associated with it for hardening, security configuration, and 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 software product wherein additional charges apply for hardening, security configuration, and 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 secure by default: unique API key per instance, UFW firewall pre-configured, Web UI access controlled - vector database API and admin interface are not exposed to the internet out of the box.
    • 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 for local embedding without external API calls, Python SDK included, quickstart examples at /etc/lynxroute/tests/ - start building RAG pipelines in minutes.

    Details

    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.

    Qdrant - Hardened Vector Database for AI on Ubuntu 24.04

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    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.

    Usage costs (5)

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    Dimension
    Cost/hour
    t3.medium
    Recommended
    $0.02
    t3.large
    $0.03
    m6i.xlarge
    $0.05
    m6i.large
    $0.03
    m6i.2xlarge
    $0.07

    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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    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

    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.

    Usage information

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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

    Version 1.17.1 - Initial release (April 2026)

    • Qdrant 1.17.1 on Ubuntu 24.04 LTS
    • CIS Level 1 hardening applied (ansible-lockdown/UBUNTU24-CIS)
    • Unique API key generated per instance at first boot - no default empty key
    • Web UI included - accessible at /dashboard on port 6333
    • fastembed (BAAI/bge-small-en-v1.5) pre-installed for local embedding
    • Python SDK (qdrant-client) pre-installed with quickstart examples
    • UFW firewall pre-configured (ports 22, 6333, 6334 only)
    • fail2ban, auditd, AppArmor pre-configured
    • SBOM (CycloneDX 1.6) at /etc/lynxroute/sbom.json
    • CIS Conformance Report (OpenSCAP) at /etc/lynxroute/cis-report.html
    • Tailored CIS profile with documented controls at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md
    • IMDSv2 enforced

    Additional details

    Usage instructions

    1. Launch instance (t3.medium recommended)
    2. SSH: ssh -i key.pem ubuntu@<PUBLIC_IP>
    3. Read credentials: sudo cat /root/qdrant-credentials.txt
    4. Open Security Group - allow TCP 6333 from your IP
    5. Open http://<PUBLIC_IP>:6333/dashboard - enter API key from credentials file

    Credentials and API key are saved to /root/qdrant-credentials.txt at first boot. Important: never expose port 6333 to 0.0.0.0/0 without restricting to trusted IPs - the API key is the only authentication layer.

    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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