A specialist that lives entirely in the embedding space — it takes text in and produces dense vector representations, nothing else. Arctic Embed L v2.0 is built for retrieval tasks, converting documents and queries into vectors that cluster meaningfully by semantic similarity. It's a focused, no-frills tool: don't expect it to chat or reason, but do expect consistent, well-structured embeddings suited for search pipelines.