TLDRocket
Sign in

Cohere released Embed 5, introducing separate Pro and Fast tiers for embedding to support higher-throughput retrieval

Model release Provisional 86% confidence first seen

Cohere announced Embed 5, an embedding model family for enterprise search, RAG, and agentic retrieval. The release includes a Pro tier for indexing and a Fast tier that can be used for querying against the same vector representation, with reported small drops in retrieval quality alongside lower latency and cost.

Cohere Embed 5 Cohere API Cohere Model Vault Embed 5 Fast Embed 5 Pro Gemini Embedding 2 OpenAI The New Stack Voyage 4 Large vLLM

Source coverage

Cohere’s faster query model barely dents retrieval quality in its tests The New Stack Cohere Releases Embed 5: How It Compares to Voyage 4 Large, Gemini Embedding 2, and OpenAI MarkTechPost

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.