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Qdrant

Qdrant is an open-source vector database designed for efficient similarity search and AI-driven applications. It is optimized for storing, indexing, and querying high-dimensional vectors, making it suitable for machine learning, semantic search, and recommendation systems.

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aws
AWS
google-gcp
Google GCP
azure
Azure
oracle
Oracle
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Deployment + Maintenance

Deploy open-source applications instantly on your cloud

  • Simple Instant Deployment Instantly deploy in your company’s cloud on.
  • Robust Security Continuous security scans to ensure your deployment is safe.
  • Control Dashboard Easily manage your open-source applications.
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Deployment + Maintenance

Support

Qdrant Support with one SLA

  • 30 Minute Response Time Our support team will reach out to you within 30 minutes of you contacting our team.
  • Support Any Time You Need It (24/7) Regardless of your time zone or location, our team of dedicated support professionals can always assist you.
  • Quick Resolution Guaranteed On average our team of experts will be able to solve any problem you have ithin 48 hours.
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Features

  • Vector Storage & Search Store high-dimensional vectors (embeddings) and perform fast similarity searches.
  • Filtering & Payload Support Attach metadata (“payload”) to each vector and filter results by it.
  • Real-Time Updates Add, update, or delete vectors in real-time without downtime.
  • Scalable & High Performance Written in Rust, optimized for speed and memory efficiency. Supports large datasets.
  • API & Client Libraries Offers HTTP/REST and gRPC APIs; client libraries in Python, JS, Go, etc.
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Features
Related articles
OSSpedia
Data Management and Analytics 20 Dec 2025 Qdrant: Open-Source Vector Database for High-Performance Similarity Search and AI Applications Machine Learning QDR

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