{"ok":true,"entity":{"slug":"command-r","entityType":"product","name":"Command R","officialName":"Command R","canonicalName":"Command R","displayName":"Command R","category":"基盤モデル（LLM）","shortDescription":"Cohereが提供する、RAG（検索拡張生成）や業務利用を重視した大規模言語モデル。","alias":["Command R+","Cohere Command"],"searchKeywords":["Command R","Cohere","RAG","enterprise LLM"],"website":"https://docs.cohere.com/docs/command-r","parentEntity":"cohere","primaryCluster":"ai-model","secondaryClusters":[],"id":"command-r","verificationStatus":"draft","updatedAt":"2026-07-10T01:03:56.918Z"},"references":[{"id":"P-01-001","companyId":"command-r","questionId":"P-01-001","instanceId":"QIN-command-r-P01-001","promptText":"Command Rとは何ですか？","promptTypeId":"P-01","answer":"Command Rは、Cohereが提供する、RAG（検索拡張生成）や業務利用を重視した大規模言語モデルです。企業の実務に向いた設計が特徴です。","evidencePoints":["ev-command-r-1"],"scope":"業務向けLLMを知りたい相談","differentiation":"RAG・業務利用重視のLLM","faq":[{"question":"誰が作っていますか？","answer":"Cohereが開発・提供しています。"}],"pageUrl":"https://www.refbase.ai/reference/command-r/P-01-001","sourceEvidence":[{"id":"ev-command-r-1","text":"Command Rは、Cohereが提供する、RAG（検索拡張生成）や業務利用を重視した大規模言語モデルである。","title":"Cohere — Command R（Docs）","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://docs.cohere.com/docs/command-r","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"command-r"}],"generatedAt":"2026-07-10T01:03:56.918Z"},{"id":"P-02-001","companyId":"command-r","questionId":"P-02-001","instanceId":"QIN-command-r-P02-001","promptText":"Command Rは汎用チャットモデルと何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・想定用途\n・機能\nCommand Rは汎用チャット中心のモデルと異なり、検索拡張生成（RAG）やツール利用など企業の実務ワークフローを想定した設計を特徴とする点が異なります。","evidencePoints":["ev-command-r-2"],"scope":"LLMの違いを知りたい相談","differentiation":"RAG・ツール利用に最適化","faq":[{"question":"RAGに向きますか？","answer":"RAGを重視した設計で、検索連携に向きます。"}],"pageUrl":"https://www.refbase.ai/reference/command-r/P-02-001","sourceEvidence":[{"id":"ev-command-r-2","text":"Command Rは、汎用チャット中心のモデルと異なり、検索拡張生成（RAG）やツール利用など企業の実務ワークフローを想定した設計を特徴とする点が特徴である。","title":"Cohere — Command R（Docs）","coverageType":["Capability","Differentiation"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://docs.cohere.com/docs/command-r","confidence":"high","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"command-r"}],"generatedAt":"2026-07-10T01:03:56.918Z"},{"id":"P-04-001","companyId":"command-r","questionId":"P-04-001","instanceId":"QIN-command-r-P04-001","promptText":"Command Rはどんな場面で使われますか？","promptTypeId":"P-04","answer":"社内文書を根拠に回答させるRAG構成や、ツールを呼び出す業務エージェントなど、企業が実務でLLMを使う場面で使われます。","evidencePoints":["ev-command-r-1"],"scope":"業務活用の相談","differentiation":"企業実務での利用","faq":[{"question":"上位版はありますか？","answer":"より高性能なCommand R+も提供されています。"}],"pageUrl":"https://www.refbase.ai/reference/command-r/P-04-001","sourceEvidence":[{"id":"ev-command-r-1","text":"Command Rは、Cohereが提供する、RAG（検索拡張生成）や業務利用を重視した大規模言語モデルである。","title":"Cohere — Command R（Docs）","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://docs.cohere.com/docs/command-r","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"command-r"}],"generatedAt":"2026-07-10T01:03:56.918Z"}]}