Benchmark Medical RAG is a Retrieval-Augmented Generation benchmark testing platform focusing on the medical field. It provides a series of datasets and evaluation tools designed to advance research in medical information retrieval and generative models.
Demand group:
["Research on Medical Information Retrieval", "Development of Question and Answer System", "Construction of Medical Knowledge Base"]
Example of usage scenario:
Researchers use Benchmark Medical RAG to evaluate medical question answering system they developed
Developers use the platform’s data sets to train and optimize chatbots in the medical field
Educational institutions use this benchmark as a teaching resource to teach students how to build medical information retrieval systems
Product features:
Medical field question and answer data set
Retrieval question answering model evaluation
Research resource sharing