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Cohere¶

Cohere provides enterprise-focused NLP models with excellent RAG and embedding capabilities.

Quick Start¶

from sentimatrix import Sentimatrix
from sentimatrix.config import SentimatrixConfig, LLMConfig

config = SentimatrixConfig(
    llm=LLMConfig(
        provider="cohere",
        model="command-r-plus",
        api_key="your-cohere-key"  # Or set COHERE_API_KEY
    )
)

async with Sentimatrix(config) as sm:
    summary = await sm.summarize_reviews(reviews)

Available Models¶

Model	Context	Best For
`command-r-plus`	128K	Complex tasks, RAG
`command-r`	128K	Balanced performance
`command`	4K	Legacy, fast
`command-light`	4K	Lightweight tasks

Configuration¶

LLMConfig(
    provider="cohere",
    model="command-r-plus",
    api_key="your-key",           # Or COHERE_API_KEY env var
    temperature=0.7,
    max_tokens=4096,
    timeout=30,
)

Environment Variables¶

export COHERE_API_KEY="your-cohere-api-key"

Features¶

RAG Optimized: Built-in citation and grounding
Embeddings: High-quality text embeddings
Reranking: Document reranking capabilities
Multilingual: 100+ language support

Pricing¶

Model	Input	Output
command-r-plus	$2.50/1M	$10/1M
command-r	$0.15/1M	$0.60/1M
command	$1/1M	$2/1M

Example: With Citations¶

async with Sentimatrix(config) as sm:
    # Cohere excels at grounded responses
    insights = await sm.generate_insights(
        reviews,
        include_citations=True
    )

    print(insights.summary)
    print(insights.citations)  # Source references