Qdrant is an Open-Source Vector Database and Vector Search Engine written in Rust, designed for high-performance and scalable vector similarity searches.

Yes, Qdrant is open-source and free to use. Additional managed services may be offered.

Qdrant's main features include its open-source nature, high-performance vector search, scalability, and an API for easy integration.

Developers, data scientists, AI researchers, machine learning engineers, and tech startups can benefit from using Qdrant.

You can integrate Qdrant into your application using its API, following the detailed guides in the documentation.

Qdrant supports web, Linux, Mac, and Windows platforms.

Qdrant can be used in AI applications, machine learning projects, recommendation systems, image and video analysis, natural language processing, and data-driven insights.

Qdrant is designed to be highly scalable, capable of handling large volumes of vector data efficiently.

The support email for Qdrant is info@qdrant.io.

Alternatives to Qdrant include Pinecone, Milvus, Weaviate, FAISS, and Vespa.