qdrant
by selfmade · built
Qdrant is a vector search engine and vector database. It stores, manages, and searches high-dimensional vectors generated by machine learning models. Qdrant is designed to handle large-scale vector data efficiently, making it suitable for applications such as recommendation systems, image and video search, natural language processing, and anomaly detection.
Install on your instance
Open LabStore on any connected Selfmade Ninja Labs instance and press Get on qdrant — or, from the instance shell:
labsctl store-install qdrant