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qdrant.io

Qdrant is an open-source vector database and search engine designed for efficient similarity search in AI applications.

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About qdrant.io

Qdrant is an open-source, high-performance vector database built in Rust, offering fast and scalable similarity search for AI applications. Its intuitive API allows seamless integration with popular embedding models and frameworks, enabling use cases like matching, searching, and recommendations. Qdrant also features advanced scoring and reranking capabilities, making it ideal for complex AI-driven data analysis and retrieval tasks.

How to Use

Deploy Qdrant locally using Docker with the Quick Start Guide or via the GitHub repository. Convert embeddings or neural network outputs into applications for efficient matching, searching, and recommendation tasks.

Features

Simple deployment and user-friendly interface

Seamless integration with leading embedding frameworks

Built in Rust for robustness and speed

Supports large-scale, high-performance vector searches

Scalable cloud-native architecture with high availability

Cost-effective storage with compression options

Use Cases

Anomaly detection and data pattern analysis

Personalized recommendation engines

Retrieval-augmented generation (RAG) for AI content

Deep semantic similarity search

AI agents for complex task execution

Best For

Data ScientistsMachine Learning EngineersAI DevelopersSoftware EngineersRecommendation System BuildersAI ResearchersData Analysts

Pros

Open-source and built in Rust for optimal performance

Integrates smoothly with diverse embedding models

Trusted by leading AI solutions worldwide

Offers scalable, cloud-native deployment options

Enables fast, accurate vector similarity searches

Includes cost-efficient storage with compression

Cons

Requires technical expertise for deployment and management

Enterprise pricing details available only upon request

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Managed Cloud

Starting at $0

Includes a free 1GB cluster with no credit card required.

Get Started

Hybrid Cloud

$0.014 per hour

Pay-as-you-go pricing for hybrid deployments.

Get Started

Private Cloud

Custom

Pricing available upon request.

Get Started

Frequently Asked Questions

Find answers to common questions about qdrant.io

What is Qdrant?

Qdrant is an open-source vector database optimized for fast, scalable similarity search in AI applications, built using Rust.

What are common use cases for Qdrant?

Qdrant supports use cases such as recommendation engines, semantic search, anomaly detection, and AI-powered data retrieval.

How do I deploy Qdrant?

You can deploy Qdrant locally with Docker or opt for the managed Qdrant Cloud platform.

What benefits does Qdrant Cloud offer?

Qdrant Cloud provides fully managed services, multi-region support, auto-scaling, monitoring, backups, high availability, and seamless upgrades.

What is Qdrant Hybrid Cloud?

Qdrant Hybrid Cloud enables connecting your own infrastructure—cloud, on-premise, or edge—to the managed Qdrant Cloud environment.