{"id":"cohere-api","name":"Cohere API","homepage":"https://docs.cohere.com","repo_url":"https://github.com/cohere-ai/cohere-python","category":"ai-ml","subcategories":["llm","embeddings","rag","enterprise-ai","search"],"tags":["cohere","llm","embeddings","rag","enterprise-ai","search","reranking","rest-api","sdk"],"what_it_does":"Enterprise-focused LLM platform specializing in retrieval-augmented generation (RAG), embeddings, and text generation. Known for Command models (generation) and Embed models (semantic search), plus Rerank for search quality.","use_cases":["Semantic search and RAG pipelines using Cohere's Embed and Rerank models","Enterprise text generation with Command models for business automation","Document search with reranking for high-precision information retrieval","Fine-tuning LLMs on proprietary data for domain-specific agents","Multi-language text understanding and generation for global deployments"],"not_for":["Multimodal applications requiring image/video understanding","Real-time voice and audio processing","Consumer-facing chatbot applications (OpenAI has better UX ecosystem)","Organizations needing GPT-4 compatibility (different API format)"],"best_when":"An agent needs enterprise-grade semantic search, RAG, or reranking capabilities, especially with strong data privacy guarantees and enterprise deployment options.","avoid_when":"You need multimodal capabilities, GPT-4 compatibility, or broad community ecosystem support.","alternatives":["openai-api","anthropic-api","azure-openai-api","mistral-api"],"af_score":85.1,"security_score":null,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:05.421510+00:00","performance":{"latency_p50_ms":400,"latency_p99_ms":2000,"uptime_sla_percent":99.9,"rate_limits":"100 requests/minute trial; higher on production","data_source":"llm_estimated","measured_on":null}}