Vector Database and Search Engine
30.3k 2026-04-13

qdrant/qdrant

Qdrant is a high-performance, massive-scale vector database and search engine designed for next-generation AI applications.

Core Features

High-performance vector similarity search
Scalable for massive datasets
Extended filtering capabilities for semantic search
Production-ready service with a convenient API
Built with Rust for speed and reliability

Quick Start

docker run -p 6333:6333 qdrant/qdrant

Detailed Introduction

Qdrant is an open-source vector similarity search engine and vector database, providing a robust, production-ready service for storing, searching, and managing vectors with additional payloads. Tailored for advanced filtering, it excels in neural-network and semantic-based matching, faceted search, and recommendation systems. Written in Rust, Qdrant ensures high performance and reliability, making it an ideal foundation for AI-driven applications that require efficient handling of embeddings and neural network outputs.

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