{
  "slug": "qdrant",
  "name": "Qdrant",
  "company": "Qdrant",
  "website": "https://qdrant.tech/",
  "category": "platforms",
  "business_model": "freemium",
  "availability": "unknown",
  "launched": null,
  "tags": [
    "vector",
    "developer-tools"
  ],
  "updated": "2026-11-03",
  "sources": [
    {
      "title": "Qdrant — official product",
      "url": "https://qdrant.tech/"
    },
    {
      "title": "Qdrant — official documentation and terms",
      "url": "https://qdrant.tech/documentation/"
    },
    {
      "title": "Qdrant — official documentation and terms",
      "url": "https://qdrant.tech/pricing/"
    }
  ],
  "selection": {
    "tasks": [
      "search"
    ],
    "form_factor": "service",
    "platforms": [
      "unknown"
    ],
    "deployment": [
      "cloud",
      "self-hosted"
    ],
    "offline": "unknown",
    "regions": [
      "unknown"
    ],
    "api": "yes",
    "license": "unknown",
    "commercial_use": "unknown",
    "languages": [
      "unknown"
    ],
    "billing": {
      "models": [
        "open-source",
        "usage"
      ],
      "free_allowance": "limited",
      "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": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "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": "editorial_inference",
      "note": "Editorial classification of the documented features; not a product-performance test."
    },
    "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": "qdrant.capability.primary",
      "field": "capability",
      "value": "Dense, sparse and multivector retrieval",
      "status": "verified",
      "evidence_type": "official_page",
      "checked": "2026-11-03",
      "sources": [
        "https://qdrant.tech/documentation/"
      ]
    }
  ],
  "docs_url": "https://qdrant.tech/documentation/",
  "pricing_url": "https://qdrant.tech/pricing/",
  "description": "Vector search engine for semantic retrieval with payload filters and hybrid query support.",
  "overview": "Typical uses include Semantic retrieval for RAG; Search over embedded application data. Documented capabilities: Dense, sparse and multivector retrieval; Payload filtering and hybrid queries; Self-hosted server and managed cloud deployment.",
  "features": [
    "Dense, sparse and multivector retrieval",
    "Payload filtering and hybrid queries",
    "Self-hosted server and managed cloud deployment"
  ],
  "use_cases": [
    "Semantic retrieval for RAG",
    "Search over embedded application data"
  ],
  "pricing_notes": "Open-source Qdrant can be self-hosted. Cloud Free includes 1 GB RAM and 4 GB disk; Standard is resource-based for a dedicated cluster. Embedding-provider costs and larger-cluster charges are separate from the free database tier.",
  "faq": [
    {
      "q": "Where does Qdrant fit in a workflow?",
      "a": "Vector search engine for semantic retrieval with payload filters and hybrid query support. Dense, sparse and multivector retrieval."
    },
    {
      "q": "What costs and limits should I compare before choosing Qdrant?",
      "a": "Open-source Qdrant can be self-hosted. Cloud Free includes 1 GB RAM and 4 GB disk; Standard is resource-based for a dedicated cluster. Embedding-provider costs and larger-cluster charges are separate from the free database tier."
    }
  ],
  "i18n": {
    "zh": {
      "description": "支持载荷过滤与混合查询的语义检索向量搜索引擎。",
      "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：稠密、稀疏和多向量检索；载荷过滤及混合查询；自托管服务器及托管云部署。",
      "features": [
        "稠密、稀疏和多向量检索",
        "载荷过滤及混合查询",
        "自托管服务器及托管云部署"
      ],
      "use_cases": [
        "RAG语义检索",
        "应用嵌入数据搜索"
      ],
      "pricing_notes": "开源Qdrant可自托管。云免费档含1GB内存和4GB磁盘，Standard按专用集群资源计费。嵌入提供商及更大集群费用与免费数据库档分开。",
      "faq": [
        {
          "q": "Qdrant适合工作流中的哪个环节？",
          "a": "支持载荷过滤与混合查询的语义检索向量搜索引擎。 稠密、稀疏和多向量检索."
        },
        {
          "q": "选择Qdrant前应比较哪些费用和限制？",
          "a": "开源Qdrant可自托管。云免费档含1GB内存和4GB磁盘，Standard按专用集群资源计费。嵌入提供商及更大集群费用与免费数据库档分开。"
        }
      ],
      "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": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "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": "依据所记录功能作出的编辑归类，非产品性能实测。"
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "稠密、稀疏和多向量检索"
        }
      }
    },
    "es": {
      "description": "Motor vectorial de recuperación semántica con filtros y consultas híbridas.",
      "overview": "Usos habituales: Recuperación semántica para RAG; Búsqueda sobre datos vectorizados. Funciones documentadas: Recuperación densa, dispersa y multivector; Filtros de payload y consultas híbridas; Servidor propio o nube gestionada.",
      "features": [
        "Recuperación densa, dispersa y multivector",
        "Filtros de payload y consultas híbridas",
        "Servidor propio o nube gestionada"
      ],
      "use_cases": [
        "Recuperación semántica para RAG",
        "Búsqueda sobre datos vectorizados"
      ],
      "pricing_notes": "Qdrant abierto puede autoalojarse. Cloud Free incluye 1 GB RAM y 4 GB de disco; Standard cobra recursos del clúster dedicado. Embeddings y clústeres mayores se pagan aparte.",
      "faq": [
        {
          "q": "¿En qué parte del flujo encaja Qdrant?",
          "a": "Motor vectorial de recuperación semántica con filtros y consultas híbridas. Recuperación densa, dispersa y multivector."
        },
        {
          "q": "¿Qué costes y límites debo comparar antes de elegir Qdrant?",
          "a": "Qdrant abierto puede autoalojarse. Cloud Free incluye 1 GB RAM y 4 GB de disco; Standard cobra recursos del clúster dedicado. Embeddings y clústeres mayores se pagan aparte."
        }
      ],
      "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": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "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": "Clasificación editorial de las funciones documentadas; no es una prueba de rendimiento."
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "Recuperación densa, dispersa y multivector"
        }
      }
    },
    "fr": {
      "description": "Moteur vectoriel de recherche sémantique avec filtres et requêtes hybrides.",
      "overview": "Usages courants : Recherche sémantique pour RAG; Recherche sur des données vectorisées. Fonctions documentées : Recherche dense, creuse et multivecteur; Filtres sur données associées et requêtes hybrides; Serveur auto-hébergé et cloud géré.",
      "features": [
        "Recherche dense, creuse et multivecteur",
        "Filtres sur données associées et requêtes hybrides",
        "Serveur auto-hébergé et cloud géré"
      ],
      "use_cases": [
        "Recherche sémantique pour RAG",
        "Recherche sur des données vectorisées"
      ],
      "pricing_notes": "Qdrant ouvert peut être auto-hébergé. Cloud Free inclut 1 Go RAM et 4 Go disque ; Standard facture les ressources dédiées. Embeddings et grands clusters restent distincts.",
      "faq": [
        {
          "q": "Quelle place occupe Qdrant dans un parcours de travail ?",
          "a": "Moteur vectoriel de recherche sémantique avec filtres et requêtes hybrides. Recherche dense, creuse et multivecteur."
        },
        {
          "q": "Quels coûts et limites comparer avant de choisir Qdrant ?",
          "a": "Qdrant ouvert peut être auto-hébergé. Cloud Free inclut 1 Go RAM et 4 Go disque ; Standard facture les ressources dédiées. Embeddings et grands clusters restent distincts."
        }
      ],
      "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": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "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": "Classement éditorial des fonctions documentées ; aucun test de performance."
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "Recherche dense, creuse et multivecteur"
        }
      }
    },
    "ja": {
      "description": "ペイロードフィルタと混合クエリに対応する意味検索用ベクトルエンジン。",
      "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：密・疎・マルチベクトル検索；ペイロードフィルタと混合クエリ；自前サーバーと管理型クラウド。",
      "features": [
        "密・疎・マルチベクトル検索",
        "ペイロードフィルタと混合クエリ",
        "自前サーバーと管理型クラウド"
      ],
      "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": "公開Qdrantは自前運用できます。Cloud FreeはRAM1GBとディスク4GB、Standardは専用クラスタの資源課金です。埋め込み提供者と大規模クラスタの費用は無料枠と別です。",
      "faq": [
        {
          "q": "Qdrantはワークフローのどの部分に向いていますか？",
          "a": "ペイロードフィルタと混合クエリに対応する意味検索用ベクトルエンジン。 密・疎・マルチベクトル検索."
        },
        {
          "q": "Qdrantを選ぶ前に比較すべき費用や制限は何ですか？",
          "a": "公開Qdrantは自前運用できます。Cloud FreeはRAM1GBとディスク4GB、Standardは専用クラスタの資源課金です。埋め込み提供者と大規模クラスタの費用は無料枠と別です。"
        }
      ],
      "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": "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。"
        },
        "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": "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。"
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "密・疎・マルチベクトル検索"
        }
      }
    },
    "de": {
      "description": "Vektorsuchmaschine für semantisches Retrieval mit Payloadfiltern und Hybridabfragen.",
      "overview": "Typische Anwendungen: Semantische Suche für RAG; Suche in eingebetteten Anwendungsdaten. Dokumentierte Funktionen: Dichte, dünnbesetzte und Multivektor-Suche; Payloadfilter und Hybridabfragen; Selbstgehosteter Server und verwaltete Cloud.",
      "features": [
        "Dichte, dünnbesetzte und Multivektor-Suche",
        "Payloadfilter und Hybridabfragen",
        "Selbstgehosteter Server und verwaltete Cloud"
      ],
      "use_cases": [
        "Semantische Suche für RAG",
        "Suche in eingebetteten Anwendungsdaten"
      ],
      "pricing_notes": "Das offene Qdrant ist selbst hostbar. Cloud Free umfasst 1 GB RAM und 4 GB Platte; Standard berechnet dedizierte Clusterressourcen. Embedding-Anbieter und größere Cluster kosten separat.",
      "faq": [
        {
          "q": "Wo passt Qdrant in den Arbeitsablauf?",
          "a": "Vektorsuchmaschine für semantisches Retrieval mit Payloadfiltern und Hybridabfragen. Dichte, dünnbesetzte und Multivektor-Suche."
        },
        {
          "q": "Welche Kosten und Limits sollte ich vor der Wahl von Qdrant vergleichen?",
          "a": "Das offene Qdrant ist selbst hostbar. Cloud Free umfasst 1 GB RAM und 4 GB Platte; Standard berechnet dedizierte Clusterressourcen. Embedding-Anbieter und größere Cluster kosten separat."
        }
      ],
      "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": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "offline": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "regions": {
          "note": "Die Quellenprüfung dieses Eintrags hat dieses Produktfeld nicht belegt."
        },
        "api": {
          "note": "Redaktionelle Einordnung dokumentierter Funktionen; kein Leistungstest."
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "Dichte, dünnbesetzte und Multivektor-Suche"
        }
      }
    },
    "pt": {
      "description": "Motor vetorial de recuperação semântica com filtros e consultas híbridas.",
      "overview": "Usos comuns: Recuperação semântica para RAG; Busca em dados vetorizados. Recursos documentados: Recuperação densa, esparsa e multivetor; Filtros de payload e consultas híbridas; Servidor próprio ou nuvem gerenciada.",
      "features": [
        "Recuperação densa, esparsa e multivetor",
        "Filtros de payload e consultas híbridas",
        "Servidor próprio ou nuvem gerenciada"
      ],
      "use_cases": [
        "Recuperação semântica para RAG",
        "Busca em dados vetorizados"
      ],
      "pricing_notes": "Qdrant aberto pode ser auto-hospedado. Cloud Free inclui 1 GB RAM e 4 GB de disco; Standard cobra recursos dedicados. Embeddings e clusters maiores são separados.",
      "faq": [
        {
          "q": "Em que parte do fluxo Qdrant se encaixa?",
          "a": "Motor vetorial de recuperação semântica com filtros e consultas híbridas. Recuperação densa, esparsa e multivetor."
        },
        {
          "q": "Quais custos e limites comparar antes de escolher Qdrant?",
          "a": "Qdrant aberto pode ser auto-hospedado. Cloud Free inclui 1 GB RAM e 4 GB de disco; Standard cobra recursos dedicados. Embeddings e clusters maiores são separados."
        }
      ],
      "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": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "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": "Classificação editorial dos recursos documentados; não é um teste de desempenho."
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "Recuperação densa, esparsa e multivetor"
        }
      }
    },
    "ko": {
      "description": "페이로드 필터와 하이브리드 쿼리를 지원하는 의미 검색용 벡터 엔진입니다.",
      "overview": "주요 용도는 RAG 의미 검색; 임베딩된 앱 데이터 검색입니다. 문서에 명시된 기능: 밀집, 희소, 다중 벡터 검색; 페이로드 필터 및 하이브리드 쿼리; 자체 서버 및 관리형 클라우드.",
      "features": [
        "밀집, 희소, 다중 벡터 검색",
        "페이로드 필터 및 하이브리드 쿼리",
        "자체 서버 및 관리형 클라우드"
      ],
      "use_cases": [
        "RAG 의미 검색",
        "임베딩된 앱 데이터 검색"
      ],
      "pricing_notes": "오픈 소스 Qdrant는 자체 호스팅할 수 있습니다. Cloud Free는 RAM 1GB와 디스크 4GB이고 Standard는 전용 클러스터 리소스 과금입니다. 임베딩 제공자와 대규모 클러스터 비용은 별도입니다.",
      "faq": [
        {
          "q": "Qdrant은(는) 워크플로의 어느 단계에 적합한가요?",
          "a": "페이로드 필터와 하이브리드 쿼리를 지원하는 의미 검색용 벡터 엔진입니다. 밀집, 희소, 다중 벡터 검색."
        },
        {
          "q": "Qdrant 선택 전에 어떤 비용과 제한을 비교해야 하나요?",
          "a": "오픈 소스 Qdrant는 자체 호스팅할 수 있습니다. Cloud Free는 RAM 1GB와 디스크 4GB이고 Standard는 전용 클러스터 리소스 과금입니다. 임베딩 제공자와 대규모 클러스터 비용은 별도입니다."
        }
      ],
      "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": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "offline": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "regions": {
          "note": "이 항목의 출처 검토에서 해당 제품 정보를 확인하지 못했습니다."
        },
        "api": {
          "note": "문서화된 기능에 따른 편집상 분류이며 성능 실측이 아닙니다."
        },
        "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": {
        "qdrant.capability.primary": {
          "value": "밀집, 희소, 다중 벡터 검색"
        }
      }
    }
  },
  "verification": {
    "last_checked": "2026-11-03",
    "batch": "catalog-500-20261103",
    "source_review": "Official product pages read; no product-performance test.",
    "reviewed_sources": [
      "https://qdrant.tech/",
      "https://qdrant.tech/documentation/",
      "https://qdrant.tech/pricing/"
    ],
    "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/qdrant/"
}