Overview
Qdrant is a cutting-edge vector database that provides advanced similarity search capabilities for AI and machine learning applications. Built in Rust, it offers enterprise-grade performance and scalability for handling complex vector-based data processing and retrieval.
Key Features
- Cloud-native scalability with horizontal and vertical scaling
- Enterprise-grade managed cloud infrastructure
- Built-in vector compression and quantization
- Supports multimodal data search
- Docker-based deployment with simple API integration
- High-performance Rust-powered architecture
- Advanced filtering and payload management
- Supports multiple embedding and ML frameworks
Use Cases
- Retrieval Augmented Generation (RAG)
- Recommendation Systems
- Advanced Semantic Search
- Data Analysis and Anomaly Detection
- AI Agent Development
- Multimodal Search Applications
Technical Specifications
- Open-source vector database
- Supports high-dimensional vector processing
- Nearest neighbor search algorithms
- Payload filtering capabilities
- Horizontal and vertical scaling
- Zero-downtime upgrades
- Docker and Kubernetes compatible
- Programming language agnostic
