Qdrant is a vector database & vector search engine designed for high-dimensional data. Key features include:
- Open Source: Freely available and customizable.
- Rust-based: Ensures reliability and performance.
- Cloud-Native Scalability: Designed for scaling and high availability in cloud environments.
- Cost Efficiency: Offers storage options including built-in compression and disk offloading.
- Ease of Use: Simple deployment with Docker and a lean API.
- Integrations: Compatible with leading embeddings and frameworks.
Use cases include advanced search, recommendation systems, retrieval-augmented generation (RAG), data analysis, and AI agents. It's designed to handle billions of vectors.
