{
  "slug": "lancedb",
  "name": "LanceDB",
  "company": "LanceDB",
  "website": "https://lancedb.com/",
  "category": "platforms",
  "business_model": "open",
  "availability": "unknown",
  "launched": null,
  "tags": [
    "vector",
    "developer-tools"
  ],
  "updated": "2026-11-03",
  "sources": [
    {
      "title": "LanceDB — official product",
      "url": "https://lancedb.com/"
    },
    {
      "title": "LanceDB — official documentation and terms",
      "url": "https://docs.lancedb.com/"
    },
    {
      "title": "LanceDB — official documentation and terms",
      "url": "https://github.com/lancedb/lancedb"
    }
  ],
  "selection": {
    "tasks": [
      "search",
      "data-analysis"
    ],
    "form_factor": "library",
    "platforms": [
      "unknown"
    ],
    "deployment": [
      "unknown"
    ],
    "offline": "unknown",
    "regions": [
      "unknown"
    ],
    "api": "unknown",
    "license": "unknown",
    "commercial_use": "unknown",
    "languages": [
      "unknown"
    ],
    "billing": {
      "models": [
        "open-source",
        "enterprise-quote"
      ],
      "free_allowance": "yes",
      "requires_subscription": "no"
    }
  },
  "selection_evidence": {
    "tasks": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "form_factor": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "platforms": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "deployment": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "offline": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "regions": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "api": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "license": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "commercial_use": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "languages": {
      "status": "unknown",
      "note": "This product-specific field was not established in this entry’s source review."
    },
    "billing": {
      "status": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    }
  },
  "facts": [
    {
      "id": "lancedb.capability.primary",
      "field": "capability",
      "value": "Store vectors, metadata and multimodal data together",
      "status": "verified",
      "evidence_type": "official_page",
      "checked": "2026-11-03",
      "sources": [
        "https://docs.lancedb.com/"
      ]
    }
  ],
  "docs_url": "https://docs.lancedb.com/",
  "description": "Multimodal data platform and embedded retrieval library built around Lance tables.",
  "overview": "Typical uses include Semantic retrieval for RAG; Search over embedded application data. Documented capabilities: Store vectors, metadata and multimodal data together; Vector, full-text and hybrid retrieval with filters; Table versioning and data access for training workflows.",
  "features": [
    "Store vectors, metadata and multimodal data together",
    "Vector, full-text and hybrid retrieval with filters",
    "Table versioning and data access for training workflows"
  ],
  "use_cases": [
    "Semantic retrieval for RAG",
    "Search over embedded application data"
  ],
  "pricing_notes": "Self-hosting the open-source project and buying the hosted platform are separate choices. The hosted service has its own plans and usage limits; self-hosting still requires infrastructure and any model-provider charges.",
  "faq": [
    {
      "q": "Where does LanceDB fit in a workflow?",
      "a": "Multimodal data platform and embedded retrieval library built around Lance tables. Store vectors, metadata and multimodal data together."
    },
    {
      "q": "What costs and limits should I compare before choosing LanceDB?",
      "a": "Self-hosting the open-source project and buying the hosted platform are separate choices. The hosted service has its own plans and usage limits; self-hosting still requires infrastructure and any model-provider charges."
    }
  ],
  "i18n": {
    "zh": {
      "description": "围绕Lance表构建的多模态数据平台及嵌入式检索库。",
      "overview": "典型用途包括RAG语义检索、应用嵌入数据搜索。文档列明的能力包括：共同存储向量、元数据及多模态数据；带过滤的向量、全文及混合检索；训练工作流的表版本管理及数据访问。",
      "features": [
        "共同存储向量、元数据及多模态数据",
        "带过滤的向量、全文及混合检索",
        "训练工作流的表版本管理及数据访问"
      ],
      "use_cases": [
        "RAG语义检索",
        "应用嵌入数据搜索"
      ],
      "pricing_notes": "开源项目自托管与购买托管平台是两种选择。托管服务有独立套餐及用量限制，自托管仍需承担基础设施和模型提供商费用。",
      "faq": [
        {
          "q": "LanceDB适合工作流中的哪个环节？",
          "a": "围绕Lance表构建的多模态数据平台及嵌入式检索库。 共同存储向量、元数据及多模态数据."
        },
        {
          "q": "选择LanceDB前应比较哪些费用和限制？",
          "a": "开源项目自托管与购买托管平台是两种选择。托管服务有独立套餐及用量限制，自托管仍需承担基础设施和模型提供商费用。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "form_factor": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "platforms": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "deployment": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "offline": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "regions": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "api": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "license": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "commercial_use": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "languages": {
          "note": "本条目的来源核查尚未确认这一产品字段。"
        },
        "billing": {
          "note": "依据所记录功能作出的编辑归类，非产品性能实测。"
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "共同存储向量、元数据及多模态数据"
        }
      }
    },
    "es": {
      "description": "Plataforma multimodal y biblioteca de recuperación embebida sobre tablas Lance.",
      "overview": "Usos habituales: Recuperación semántica para RAG; Búsqueda sobre datos vectorizados. Funciones documentadas: Vectores, metadatos y datos multimodales juntos; Búsqueda vectorial, textual e híbrida con filtros; Versiones de tablas y acceso para entrenamiento.",
      "features": [
        "Vectores, metadatos y datos multimodales juntos",
        "Búsqueda vectorial, textual e híbrida con filtros",
        "Versiones de tablas y acceso para entrenamiento"
      ],
      "use_cases": [
        "Recuperación semántica para RAG",
        "Búsqueda sobre datos vectorizados"
      ],
      "pricing_notes": "Autoalojar el proyecto abierto y contratar la plataforma alojada son opciones distintas. El servicio tiene planes y límites propios; el autoalojamiento requiere infraestructura y cargos de modelos.",
      "faq": [
        {
          "q": "¿En qué parte del flujo encaja LanceDB?",
          "a": "Plataforma multimodal y biblioteca de recuperación embebida sobre tablas Lance. Vectores, metadatos y datos multimodales juntos."
        },
        {
          "q": "¿Qué costes y límites debo comparar antes de elegir LanceDB?",
          "a": "Autoalojar el proyecto abierto y contratar la plataforma alojada son opciones distintas. El servicio tiene planes y límites propios; el autoalojamiento requiere infraestructura y cargos de modelos."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "form_factor": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "platforms": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "deployment": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "offline": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "regions": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "api": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "license": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "commercial_use": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "languages": {
          "note": "La revisión de fuentes de esta entrada no estableció este dato del producto."
        },
        "billing": {
          "note": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "Vectores, metadatos y datos multimodales juntos"
        }
      }
    },
    "fr": {
      "description": "Plateforme multimodale et bibliothèque de recherche embarquée sur tables Lance.",
      "overview": "Usages courants : Recherche sémantique pour RAG; Recherche sur des données vectorisées. Fonctions documentées : Vecteurs, métadonnées et données multimodales réunis; Recherche vectorielle, textuelle et hybride filtrée; Versions de tables et accès pour entraînement.",
      "features": [
        "Vecteurs, métadonnées et données multimodales réunis",
        "Recherche vectorielle, textuelle et hybride filtrée",
        "Versions de tables et accès pour entraînement"
      ],
      "use_cases": [
        "Recherche sémantique pour RAG",
        "Recherche sur des données vectorisées"
      ],
      "pricing_notes": "L’auto-hébergement du projet et le service hébergé sont deux options distinctes. Le service dispose de ses propres forfaits et quotas ; l’infrastructure et les modèles restent à financer en auto-hébergement.",
      "faq": [
        {
          "q": "Quelle place occupe LanceDB dans un parcours de travail ?",
          "a": "Plateforme multimodale et bibliothèque de recherche embarquée sur tables Lance. Vecteurs, métadonnées et données multimodales réunis."
        },
        {
          "q": "Quels coûts et limites comparer avant de choisir LanceDB ?",
          "a": "L’auto-hébergement du projet et le service hébergé sont deux options distinctes. Le service dispose de ses propres forfaits et quotas ; l’infrastructure et les modèles restent à financer en auto-hébergement."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "form_factor": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "platforms": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "deployment": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "offline": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "regions": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "api": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "license": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "commercial_use": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "languages": {
          "note": "L’examen des sources de cette fiche n’a pas établi ce point du produit."
        },
        "billing": {
          "note": "Classement éditorial des fonctions documentées ; aucun test de performance."
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "Vecteurs, métadonnées et données multimodales réunis"
        }
      }
    },
    "ja": {
      "description": "Lanceテーブルを基盤とする多形式データ基盤と組み込み検索ライブラリ。",
      "overview": "主な用途はRAG用の意味検索、埋め込み済みアプリデータの検索です。資料に記載された機能：ベクトル、メタデータ、多形式データを一緒に保存；フィルタ付きベクトル・全文・混合検索；学習向けのテーブル版管理とデータアクセス。",
      "features": [
        "ベクトル、メタデータ、多形式データを一緒に保存",
        "フィルタ付きベクトル・全文・混合検索",
        "学習向けのテーブル版管理とデータアクセス"
      ],
      "use_cases": [
        "RAG用の意味検索",
        "埋め込み済みアプリデータの検索"
      ],
      "pricing_notes": "オープンソース版の自前運用とホスト型プラットフォームは別の選択肢です。ホスト型には独自のプランと上限があり、自前運用でも基盤とモデル利用料が必要です。",
      "faq": [
        {
          "q": "LanceDBはワークフローのどの部分に向いていますか？",
          "a": "Lanceテーブルを基盤とする多形式データ基盤と組み込み検索ライブラリ。 ベクトル、メタデータ、多形式データを一緒に保存."
        },
        {
          "q": "LanceDBを選ぶ前に比較すべき費用や制限は何ですか？",
          "a": "オープンソース版の自前運用とホスト型プラットフォームは別の選択肢です。ホスト型には独自のプランと上限があり、自前運用でも基盤とモデル利用料が必要です。"
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "form_factor": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        },
        "platforms": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "deployment": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "offline": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "regions": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "api": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "license": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "commercial_use": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "languages": {
          "note": "この項目の資料確認では、この製品固有の情報は未確認です。"
        },
        "billing": {
          "note": "記録された機能に基づく編集上の分類であり、性能の実測ではありません。"
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "ベクトル、メタデータ、多形式データを一緒に保存"
        }
      }
    },
    "de": {
      "description": "Multimodale Datenplattform und eingebettete Retrieval-Bibliothek auf Lance-Tabellen.",
      "overview": "Typische Anwendungen: Semantische Suche für RAG; Suche in eingebetteten Anwendungsdaten. Dokumentierte Funktionen: Vektoren, Metadaten und multimodale Daten gemeinsam speichern; Vektor-, Volltext- und Hybridsuche mit Filtern; Tabellenversionen und Datenzugriff für Training.",
      "features": [
        "Vektoren, Metadaten und multimodale Daten gemeinsam speichern",
        "Vektor-, Volltext- und Hybridsuche mit Filtern",
        "Tabellenversionen und Datenzugriff für Training"
      ],
      "use_cases": [
        "Semantische Suche für RAG",
        "Suche in eingebetteten Anwendungsdaten"
      ],
      "pricing_notes": "Selbsthosting des offenen Projekts und die gehostete Plattform sind getrennte Angebote. Der Dienst hat eigene Tarife und Limits; beim Selbsthosting fallen Infrastruktur- und Modellkosten an.",
      "faq": [
        {
          "q": "Wo passt LanceDB in den Arbeitsablauf?",
          "a": "Multimodale Datenplattform und eingebettete Retrieval-Bibliothek auf Lance-Tabellen. Vektoren, Metadaten und multimodale Daten gemeinsam speichern."
        },
        {
          "q": "Welche Kosten und Limits sollte ich vor der Wahl von LanceDB vergleichen?",
          "a": "Selbsthosting des offenen Projekts und die gehostete Plattform sind getrennte Angebote. Der Dienst hat eigene Tarife und Limits; beim Selbsthosting fallen Infrastruktur- und Modellkosten an."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "form_factor": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "platforms": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "deployment": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "offline": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "regions": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "api": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "license": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "commercial_use": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "languages": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "billing": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "Vektoren, Metadaten und multimodale Daten gemeinsam speichern"
        }
      }
    },
    "pt": {
      "description": "Plataforma multimodal e biblioteca de recuperação embutida sobre tabelas Lance.",
      "overview": "Usos comuns: Recuperação semântica para RAG; Busca em dados vetorizados. Recursos documentados: Vetores, metadados e dados multimodais juntos; Busca vetorial, textual e híbrida com filtros; Versões de tabelas e acesso para treinamento.",
      "features": [
        "Vetores, metadados e dados multimodais juntos",
        "Busca vetorial, textual e híbrida com filtros",
        "Versões de tabelas e acesso para treinamento"
      ],
      "use_cases": [
        "Recuperação semântica para RAG",
        "Busca em dados vetorizados"
      ],
      "pricing_notes": "Auto-hospedar o projeto aberto e contratar a plataforma hospedada são opções distintas. O serviço tem planos e limites próprios; a hospedagem própria exige infraestrutura e custos de modelos.",
      "faq": [
        {
          "q": "Em que parte do fluxo LanceDB se encaixa?",
          "a": "Plataforma multimodal e biblioteca de recuperação embutida sobre tabelas Lance. Vetores, metadados e dados multimodais juntos."
        },
        {
          "q": "Quais custos e limites comparar antes de escolher LanceDB?",
          "a": "Auto-hospedar o projeto aberto e contratar a plataforma hospedada são opções distintas. O serviço tem planos e limites próprios; a hospedagem própria exige infraestrutura e custos de modelos."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "form_factor": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "platforms": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "deployment": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "offline": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "regions": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "api": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "license": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "commercial_use": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "languages": {
          "note": "A revisão de fontes desta entrada não estabeleceu este dado do produto."
        },
        "billing": {
          "note": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "Vetores, metadados e dados multimodais juntos"
        }
      }
    },
    "ko": {
      "description": "Lance 테이블 기반 멀티모달 데이터 플랫폼 및 내장 검색 라이브러리입니다.",
      "overview": "주요 용도는 RAG 의미 검색; 임베딩된 앱 데이터 검색입니다. 문서에 명시된 기능: 벡터, 메타데이터, 멀티모달 데이터 통합 저장; 필터 기반 벡터, 전체 텍스트, 하이브리드 검색; 학습 작업용 테이블 버전 관리 및 데이터 접근.",
      "features": [
        "벡터, 메타데이터, 멀티모달 데이터 통합 저장",
        "필터 기반 벡터, 전체 텍스트, 하이브리드 검색",
        "학습 작업용 테이블 버전 관리 및 데이터 접근"
      ],
      "use_cases": [
        "RAG 의미 검색",
        "임베딩된 앱 데이터 검색"
      ],
      "pricing_notes": "오픈 소스 자체 호스팅과 호스팅 플랫폼은 별도 선택지입니다. 호스팅 서비스에는 자체 요금제와 사용 제한이 있으며 자체 호스팅에도 인프라 및 모델 비용이 듭니다.",
      "faq": [
        {
          "q": "LanceDB은(는) 워크플로의 어느 단계에 적합한가요?",
          "a": "Lance 테이블 기반 멀티모달 데이터 플랫폼 및 내장 검색 라이브러리입니다. 벡터, 메타데이터, 멀티모달 데이터 통합 저장."
        },
        {
          "q": "LanceDB 선택 전에 어떤 비용과 제한을 비교해야 하나요?",
          "a": "오픈 소스 자체 호스팅과 호스팅 플랫폼은 별도 선택지입니다. 호스팅 서비스에는 자체 요금제와 사용 제한이 있으며 자체 호스팅에도 인프라 및 모델 비용이 듭니다."
        }
      ],
      "selection_evidence": {
        "tasks": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "form_factor": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "platforms": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "deployment": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "offline": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "regions": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "api": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "license": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "commercial_use": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "languages": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "billing": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        }
      },
      "facts": {
        "lancedb.capability.primary": {
          "value": "벡터, 메타데이터, 멀티모달 데이터 통합 저장"
        }
      }
    }
  },
  "verification": {
    "last_checked": "2026-11-03",
    "batch": "catalog-500-20261103",
    "source_review": "Official product pages read; no product-performance test.",
    "reviewed_sources": [
      "https://docs.lancedb.com/",
      "https://github.com/lancedb/lancedb",
      "https://lancedb.com/"
    ],
    "egress_region": "unknown",
    "owner": "technical",
    "gap_note": "Only documented product scope and supplied claims were reviewed. Fields left unknown were not established for this entry; no launch date, geographic guarantee or licence is inferred."
  },
  "url": "https://globalaiproductindex.com/products/lancedb/"
}