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Qdrant
High-Performance Vector Search at Scale

Qdrant
Freemium

Home: https://qdrant.tech

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What is Qdrant?

Qdrant is a high-performance, open-source vector database and similarity search engine. It is built to handle high-dimensional vectors for performance and massive-scale AI applications.

Built in Rust, Qdrant offers unmatched speed and reliability, even when processing billions of vectors. Its features include cloud-native scalability, high-availability, simple deployment, and cost efficiency with various storage options. Qdrant easily integrates with all leading embeddings and frameworks.

Features

  • Cloud-Native Scalability & High-Availability: Enterprise-grade Managed Cloud with vertical and horizontal scaling and zero-downtime upgrades.
  • Ease of Use & Simple Deployment: Quick deployment in any environment with Docker and a lean API for easy integration.
  • Cost Efficiency with Storage Options: Built-in compression options and ability to offload data to disk to reduce memory usage.
  • Rust-Powered Reliability & Performance: Built in Rust for unmatched speed and reliability.

Use Cases

  • Advanced Search
  • Recommendation Systems
  • Retrieval Augmented Generation (RAG)
  • Data Analysis and Anomaly Detection
  • AI Agents

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