Qdrant
Vector similarity search engine with extended filtering support
Qdrant is an open-source vector search engine designed to facilitate fast, flexible, and scalable search functionality for unstructured data. It is designed to make it easy to search large data sets for information that is semantically related. Qdrant supports several different types of data, including audio, images, and text, and uses machine learning algorithms to help identify and categorize data sets for more effective searches. Qdrant can be integrated into various applications and services, including chatbots, recommender systems, and information retrieval systems. It is also built with performance and scalability in mind, and can handle large data sets with ease. The project is actively developed and maintained, with regular updates and contributions from a growing community of developers.