Qdrant
Why Choose Qdrant?
Choose this if you're lookin for a powerful vector search engine that scales effortlessly and handles complex data with ease. It's perfect for those who want fast, accurate AI-driven search capabilities without the hassle.
Open-source vector database and search engine for similarity search in AI applications.
Qdrant Introduction
What is Qdrant?
Qdrant is an open-source vector database and vector search engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. It blends vector similarity with custom logic using Score Boosting Reranker. Qdrant integrates with all leading embeddings and frameworks, turning embeddings or neural network encoders into full-fledged applications for matching, searching, recommending, and more.
How to use Qdrant?
Deploy Qdrant locally with Docker using the Quick Start Guide or the GitHub repository. Turn embeddings or neural network encoders into applications for matching, searching, and recommending.
Why Choose Qdrant?
Choose this if you're lookin for a powerful vector search engine that scales effortlessly and handles complex data with ease. It's perfect for those who want fast, accurate AI-driven search capabilities without the hassle.
Qdrant Features
AI API
- ✓High-performance vector search at scale
- ✓Cloud-native scalability & high-availability
- ✓Ease of use & simple deployment
- ✓Cost efficiency with storage options
- ✓Rust-powered reliability & performance
- ✓Integrates with leading embeddings and frameworks
FAQ?
Pricing
Managed Cloud
Starts with 1GB free cluster, no credit card required.
Hybrid Cloud
Starting price per hour.
Private Cloud
Price on request.