Context Evaluation

Context evaluation measures whether the information delivered to a model actually helps it perform a task well. This includes checking whether retrieved documents are relevant, whether important details are missing, and whether irrelevant or outdated content is crowding out what matters. Teams use a mix of automated metrics, such as retrieval precision and recall, and manual review of model outputs to catch problems. Without this evaluation, a context pipeline can look complete while still giving the model poor material to work with.