Data Acquisition and Integration
HoneyBee extends data integration capabilities by incorporating preprocessing steps to ensure data quality and compatibility across modalities.
Embedding Generation
Foundation models are used to generate embeddings from raw medical data, facilitating various downstream tasks such as similarity search, clustering, and ML model training.
Data Storage and Accessibility
The generated embeddings are stored using the Hugging Face datasets library, organized in a structured format for easy access and integration into ML pipelines.