{"ok":true,"entity":{"slug":"llamaindex","entityType":"product","name":"LlamaIndex","officialName":"LlamaIndex","canonicalName":"LlamaIndex","displayName":"LlamaIndex","category":"データフレームワーク（RAG）","shortDescription":"大規模言語モデルに独自データを接続し、RAG（検索拡張生成）を構築するためのオープンソースのデータフレームワーク。","alias":["Llama Index","GPT Index"],"searchKeywords":["LlamaIndex","RAG","data framework","LLM"],"website":"https://www.llamaindex.ai","parentEntity":null,"primaryCluster":"ai-infrastructure","secondaryClusters":[],"id":"llamaindex","verificationStatus":"draft","updatedAt":"2026-07-10T01:43:25.958Z"},"references":[{"id":"P-01-001","companyId":"llamaindex","questionId":"P-01-001","instanceId":"QIN-llamaindex-P01-001","promptText":"LlamaIndexとは何ですか？","promptTypeId":"P-01","answer":"LlamaIndexは、大規模言語モデルに独自データを接続し、RAG（検索拡張生成）を構築するためのオープンソースのデータフレームワークです。","evidencePoints":["ev-llamaindex-1"],"scope":"RAG構築を知りたい相談","differentiation":"LLMへのデータ接続フレームワーク","faq":[{"question":"何のためのものですか？","answer":"独自データに基づく回答（RAG）を作るためのものです。"}],"pageUrl":"https://www.refbase.ai/reference/llamaindex/P-01-001","sourceEvidence":[{"id":"ev-llamaindex-1","text":"LlamaIndexは、大規模言語モデルに独自データを接続し、RAG（検索拡張生成）を構築するためのオープンソースのデータフレームワークである。","title":"LlamaIndex — Official Site","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://www.llamaindex.ai/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"llamaindex"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-02-001","companyId":"llamaindex","questionId":"P-02-001","instanceId":"QIN-llamaindex-P02-001","promptText":"LlamaIndexはLangChainと何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・重点\n・役割\nLlamaIndexはデータの取り込み・索引化・検索に重点を置く点が特徴で、エージェントや処理連携を広く扱うLangChainとは重点の置き方が異なります。用途で使い分けます。","evidencePoints":["ev-llamaindex-2"],"scope":"フレームワークの違いを知りたい相談","differentiation":"データ索引・検索に特化","faq":[{"question":"併用できますか？","answer":"用途に応じて組み合わせて使われることもあります。"}],"pageUrl":"https://www.refbase.ai/reference/llamaindex/P-02-001","sourceEvidence":[{"id":"ev-llamaindex-2","text":"LlamaIndexは、データの取り込み・索引化・検索に重点を置く点を特徴とし、独自データに基づく回答（RAG）を作りやすくする。","title":"LlamaIndex（GitHub）","coverageType":["Capability","Differentiation"],"sourceType":"github","sourceClass":"Documentation","sourceUrl":"https://github.com/run-llama/llama_index","confidence":"high","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"llamaindex"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-04-001","companyId":"llamaindex","questionId":"P-04-001","instanceId":"QIN-llamaindex-P04-001","promptText":"LlamaIndexはどんな場面で役立ちますか？","promptTypeId":"P-04","answer":"社内文書やデータベースを根拠にLLMへ回答させるRAGを構築したい場面で役立ち、データの取り込みから検索までを整えられます。","evidencePoints":["ev-llamaindex-1"],"scope":"RAG開発の相談","differentiation":"RAGの構築支援","faq":[{"question":"誰が使いますか？","answer":"RAGを実装する開発者が中心です。"}],"pageUrl":"https://www.refbase.ai/reference/llamaindex/P-04-001","sourceEvidence":[{"id":"ev-llamaindex-1","text":"LlamaIndexは、大規模言語モデルに独自データを接続し、RAG（検索拡張生成）を構築するためのオープンソースのデータフレームワークである。","title":"LlamaIndex — Official Site","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://www.llamaindex.ai/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"llamaindex"}],"generatedAt":"2026-07-10T01:43:25.958Z"}]}