Qdrant for Research: The Story Behind ETH & Stanford’s MIRIAD Dataset - Qdrant

This post details the use of Qdrant in the creation of the MIRIAD dataset, a large-scale medical QA dataset. It highlights Qdrant's role in powering the dataset's storage and RAG experiments, emphasizing its simplicity of use, speed, scalability, and open-source nature as key factors for researchers. The post also mentions the development of MIRIAD Atlas, an interactive map visualizing UMAP-based dimensionality-reduced embeddings, similar to Qdrant's WebUI visualization capabilities. Future plans include migrating MIRIAD Atlas to Qdrant for full-scale dataset serving.