Cohere משיק Embed 5: כיצד הוא מתחרה עם Voyage 4 Large, Gemini Embedding 2 ו-OpenAI

תקציר מקורי באנגליתCohere has released Embed 5 , a new embedding model family. It targets enterprise search, RAG, and agentic retrieval. The model family ships in 2 tiers. Embed 5 Pro targets maximum retrieval quality. Embed 5 Fast targets latency and cost on the live query path. Both accept text, images, and fused text plus image inputs. Both cover 100+ languages and read up to 128K tokens. The key design choice: Pro and Fast share 1 embedding space. You can index with one and query with the other. Is it deployable today? Yes, both tiers are generally available on the Cohere API and Model Vault , Microsoft Foundry , and Amazon SageMaker . Private VPC or on-prem serving runs through vLLM. What Cohere Shipped The API model IDs are embed-v5.0-pro and embed-v5.0-fast , per Cohere’s model docs . Both outpu