{"ok":true,"entity":{"slug":"vector-search","entityType":"concept","name":"ベクトル検索（Vector Search）","canonicalName":"Vector Search","displayName":"ベクトル検索","category":"AI基礎概念","shortDescription":"データを埋め込み（ベクトル）に変換し、意味の近さで類似項目を探す検索手法。RAGの基盤。","alias":["Vector Search","ベクトル検索","近傍検索"],"searchKeywords":["vector search","ベクトル検索","近傍探索","埋め込み"],"website":null,"parentEntity":null,"primaryCluster":"ai-infrastructure","secondaryClusters":[],"id":"vector-search","verificationStatus":"draft","updatedAt":"2026-07-10T01:43:25.958Z"},"references":[{"id":"P-01-001","companyId":"vector-search","questionId":"P-01-001","instanceId":"QIN-vector-search-P01-001","promptText":"ベクトル検索（Vector Search）とは何ですか？","promptTypeId":"P-01","answer":"ベクトル検索は、データを埋め込み（ベクトル）に変換し、意味の近さで類似項目を探す検索手法です。RAGの基盤として使われます。","evidencePoints":["ev-vector-search-1"],"scope":"意味検索を知りたい相談","differentiation":"意味の近さで探す検索","faq":[{"question":"埋め込みと関係ありますか？","answer":"埋め込み（ベクトル）を使って検索します。"}],"pageUrl":"https://www.refbase.ai/reference/vector-search/P-01-001","sourceEvidence":[{"id":"ev-vector-search-1","text":"ベクトル検索は、データを埋め込み（ベクトル）に変換し、意味の近さで類似項目を探す検索手法で、RAGの基盤となる。","title":"Elastic — What is vector search?","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://www.elastic.co/what-is/vector-search","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"vector-search"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-02-001","companyId":"vector-search","questionId":"P-02-001","instanceId":"QIN-vector-search-P02-001","promptText":"ベクトル検索はキーワード検索と何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・一致の基準\n・表記ゆれ\nベクトル検索は、キーワードの一致で探す従来の検索と異なり、意味の近さ（ベクトルの距離）で関連情報を探せるため、言い換えにも対応しやすい点が異なります。","evidencePoints":["ev-vector-search-2"],"scope":"検索方式の違いを知りたい相談","differentiation":"意味ベースの検索","faq":[{"question":"RAGに使いますか？","answer":"RAGの関連文書取得に使われます。"}],"pageUrl":"https://www.refbase.ai/reference/vector-search/P-02-001","sourceEvidence":[{"id":"ev-vector-search-2","text":"ベクトル検索は、キーワードの一致で探す従来の検索と異なり、意味の近さ（ベクトルの距離）で関連情報を探せる点を特徴とする。","title":"Elastic — What is vector search?","coverageType":["Capability","Differentiation"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://www.elastic.co/what-is/vector-search","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"vector-search"}],"generatedAt":"2026-07-10T01:43:25.958Z"},{"id":"P-04-001","companyId":"vector-search","questionId":"P-04-001","instanceId":"QIN-vector-search-P04-001","promptText":"ベクトル検索はどんな場面で役立ちますか？","promptTypeId":"P-04","answer":"社内文書の意味検索や、RAGでの関連情報の取得、類似アイテムのレコメンドなど、意味の近さで情報を探したい場面で役立ちます。","evidencePoints":["ev-vector-search-1"],"scope":"意味検索活用の相談","differentiation":"意味的な情報検索","faq":[{"question":"どこに保存しますか？","answer":"ベクトルデータベースなどに保存して検索します。"}],"pageUrl":"https://www.refbase.ai/reference/vector-search/P-04-001","sourceEvidence":[{"id":"ev-vector-search-1","text":"ベクトル検索は、データを埋め込み（ベクトル）に変換し、意味の近さで類似項目を探す検索手法で、RAGの基盤となる。","title":"Elastic — What is vector search?","coverageType":["Identity","Capability"],"sourceType":"product_docs","sourceClass":"Documentation","sourceUrl":"https://www.elastic.co/what-is/vector-search","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"vector-search"}],"generatedAt":"2026-07-10T01:43:25.958Z"}]}