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Qdrant on Amazon Linux 2023 with support by ThinkCloud

ThinkCloud · Software Development

Partial captureNo attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownVirtual machine
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Qdrant on Amazon Linux 2023 provides a production-ready vector database solution optimized for AI and machine learning workloads. This AMI

delivers a fully configured Qdrant instance running on the latest Amazon Linux 2023, enabling you to deploy vector search capabilities in

Show the rest of the publisher’s description (27 more lines)

minutes.

Key Features:

  • Pre-installed Qdrant vector database with production-grade configuration
  • Optimized for Amazon Linux 2023 with enhanced security and performance
  • Support for billion-scale vector collections with HNSW indexing
  • RESTful and gRPC APIs for seamless integration
  • Built-in filtering, payload indexing, and full-text search
  • Horizontal scalability with distributed deployment support
  • Compatible with popular AI frameworks (OpenAI, LangChain, LlamaIndex)

Ideal Use Cases:

  • Semantic search and recommendation systems
  • RAG (Retrieval-Augmented Generation) applications
  • Image and video similarity search
  • Anomaly detection and fraud prevention
  • Chatbots and conversational AI
  • Content deduplication and clustering

What's Included:

  • Qdrant latest stable version
  • Systemd service configuration for auto-start
  • Security hardening and firewall rules
  • Monitoring and logging setup
  • Comprehensive documentation and quick-start guide

Getting Started:

Launch the instance, access Qdrant via port 6333, and start building your vector search applications immediately. No complex setup

required.

Support:

Technical support available through AWS Marketplace. Regular updates and security patches included.

Highlights

Highlighted by the publisher on AWS Marketplace.

Deploy in Minutes - Fully configured Qdrant vector database ready for production use. No installation or configuration needed.

AI-Native Performance - Optimized for embeddings storage and similarity search with support for billions of vectors and sub-millisecond query latency.

Enterprise-Ready - Built on Amazon Linux 2023 with security hardening, automatic backups, and seamless AWS service integration.

Agent build and provenance

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Refund terms

As stated by the publisher on AWS Marketplace.

No Refund

Sources

Marketplace listingaws.amazon.com ↗Source
App certificationaws.amazon.com ↗Source
StandardEulaStandardEula ↗Source

Linked repositories

RepositoriesUnknownUnknown

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Pricing
Paid
Rate card pricing
Delivery
Virtual machine
If you encounter problems in the process of using the system, please feel free to contact us by email: support@thinkclouds.ai. Thank you!
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