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Cohere API

Cohere API

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Cohere API provides enterprise-grade LLM services — Command R/R+ models, Embed embeddings, Rerank reranking; focused on enterprise RAG and data privacy.

Visit site ↗Documentation ↗Health checked 9h ago
Use it when

RAG-focused (Command R model optimized for RAG)

Watch for

General LLM capability lags GPT-4/Claude Opus (positioning is enterprise RAG correctly)

First check

Sign up at dashboard.cohere.com for a trial API key. Cohere SDK: co.chat(model="command-r-plus", message="...")

Auth
api_key
CORS
?
HTTPS
Yes
Signup
?
Latency
234 ms
Protocol
REST
Pricing
paid

Uptime · 30-day window

Probes: 1Uptime: 100%Avg latency: 234ms
01

About this API

Cohere is a Canadian LLM company founded 2019 by Aidan Gomez (one of the "Attention Is All You Need" paper authors). Unlike OpenAI/Anthropic, Cohere doesn't target consumer market (no ChatGPT-like product), focusing on enterprise RAG and data privacy. Strongest in Embeddings + Rerank combo: Embed-v3 is one of the top multilingual embedding models (high-quality for Chinese, Japanese, French); Rerank service reorders top-100 first-stage search results into more relevant top-10 (essential for many production RAG apps). Command R+ is its chat model, RAG-trained (understands retrieved context better than general LLMs). Customers mostly in finance, healthcare, government — privacy-sensitive industries; Cohere supports VPC deployment and on-prem.

02

What you can build

  • 1Enterprise RAG apps (including sensitive finance/healthcare)
  • 2High-quality embeddings (multi-lingual)
  • 3Rerank to improve search result relevance
  • 4Enterprise chatbot private deployment
03

Strengths & limitations

Strengths

  • RAG-focused (Command R model optimized for RAG)
  • Strong multi-lingual (including Asian languages like Chinese)
  • Enterprise focus on privacy and compliance
  • Industry-leading Rerank service

Limitations

  • General LLM capability lags GPT-4/Claude Opus (positioning is enterprise RAG correctly)
  • Ecosystem smaller than OpenAI/Anthropic
04

Example request

Generic template — replace <endpoint> with the real path from the docs.
curl https://cohere.com/<endpoint> \
  -H "Authorization: Bearer $API_KEY"
# Some providers use X-Api-Key instead — verify in the docs.
05

Getting started

Sign up at dashboard.cohere.com for a trial API key. Cohere SDK: co.chat(model="command-r-plus", message="...")

06

FAQ

Cohere vs. OpenAI embeddings?+

Cohere Embed-v3 is stronger multilingual (OpenAI text-embedding-3 primarily English-trained). For Chinese RAG, try Cohere.

What is Rerank?+

Two-stage retrieval: first step uses embedding to fetch top-100 candidates; Rerank re-scores to pick truly most relevant top-10. Significantly lifts RAG quality.

07

Technical details

CORS: ?HTTPS: YesSignup: ?Open source: No
Auth type
api_key
Pricing
paid
Rate limit
tier 1 1000 calls/分；自助升级
Protocols
REST
SDKs
python, typescript, go, java
Response time
234 ms
Last health check
5/12/2026, 7:37:13 AM
08

Tags

aicoherellmenterpriserag