A reliable workhorse for text embeddings, e5-large-v2 produces dense vector representations that hold up well across retrieval and semantic similarity tasks. It handles both queries and passages through a simple prefix convention ('query:' and 'passage:'), making it straightforward to deploy. The large variant offers stronger representation quality than its smaller siblings at the cost of higher memory and inference time.