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    Qdrant - Hardened Vector Database for AI on Ubuntu 24.04

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    Sold by: Lynxroute 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    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. Unlike bare Qdrant deployments that have no authentication and expose the API and admin UI to all interfaces, this build is secure by default: 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.

    Overview

    This is a repackaged software product wherein additional charges apply for hardening, security configuration, and support.

    WHAT IS QDRANT

    Qdrant is an open-source, high-performance vector database and similarity search engine written in Rust. It stores high-dimensional embeddings and retrieves them at millisecond latency using HNSW indexing, scalar quantization, and binary quantization.

    Qdrant is the vector store layer in RAG (Retrieval-Augmented Generation) pipelines, semantic search engines, recommendation systems, and any AI application that needs to find semantically similar items at scale. It integrates natively with LangChain, LlamaIndex, OpenAI, and all major embedding models.

    Ports: 6333 (REST API + Web UI), 6334 (gRPC).

    WHY SELF-HOST YOUR VECTOR STORE

    Sending your document embeddings and query vectors to a cloud SaaS means your data leaves your infrastructure. For teams building RAG on proprietary documents, legal data, medical records, or any GDPR-regulated content, self-hosted Qdrant keeps your embeddings and payloads entirely within your own VPC.

    Self-hosted Qdrant also eliminates per-request SaaS pricing - for high-query workloads the cost difference compounds quickly.

    ENHANCED SECURITY OUT OF THE BOX

    Out of the box, Qdrant starts without API key authentication and binds to all network interfaces, exposing both the REST API and the Web UI. Enabling authentication, restricting network access, and hardening the underlying OS requires careful manual configuration.

    This AMI pre-configures all of these for you at first boot.

    WHAT THIS AMI ADDS

    Security defaults:

    • Unique API key generated per instance at first boot - no default empty key
    • Qdrant REST API (6333) and gRPC API (6334) - open to trusted IPs only; configure Security Group
    • UFW firewall - ports 22, 6333, 6334 only; all other ports blocked
    • fail2ban - SSH brute-force protection
    • AppArmor - mandatory access control

    OS hardening (CIS Level 1):

    • CIS Ubuntu 24.04 LTS Level 1 benchmark applied via ansible-lockdown
    • auditd - system call auditing for critical paths
    • SSH hardening - PasswordAuthentication disabled, key-only access
    • Kernel hardening - SYN cookies, ASLR, rp_filter, TCP BBR
    • IMDSv2 enforced - SSRF protection

    Compliance artifacts (inside the AMI):

    • SBOM - CycloneDX 1.6 software bill of materials at /etc/lynxroute/sbom.json
    • CIS Conformance Report - OpenSCAP HTML report at /etc/lynxroute/cis-report.html
    • Tailored CIS profile - documents all applied controls and any deviations at /usr/share/doc/lynxroute/CIS_TAILORED_PROFILE.md

    Quick Start:

    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.

    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, SBOM and CIS Conformance Report included for compliance and audit teams.
    • 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.
    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.

    Usage costs (6)

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    Dimension
    Cost/hour
    t3.medium
    Recommended
    $0.10
    t3.micro
    $0.05
    t3.large
    $0.12
    t3.small
    $0.07
    m6i.xlarge
    $0.20
    m6i.large
    $0.15

    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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    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.

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