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Title: langchain_qdrant | LangChain Reference

Open Graph Title: langchain_qdrant

X Title: langchain_qdrant

Description: Python API reference for langchain_qdrant. Part of the LangChain ecosystem.

Open Graph Description: Python API reference for langchain_qdrant. Part of the LangChain ecosystem.

X Description: Python API reference for langchain_qdrant. Part of the LangChain ecosystem.

Opengraph URL: https://reference.langchain.com/python/langchain-qdrant

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Domain: reference.langchain.com

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og:image:altlangchain_qdrant
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twitter:imagehttps://reference.langchain.com/og/python/langchain-qdrant

Links:

LangChain Reference home pagehttps://reference.langchain.com/
GitHubhttps://github.com/langchain-ai
Main Docshttps://docs.langchain.com/
Deep Agentshttps://reference.langchain.com/python/deepagents
LangChainhttps://reference.langchain.com/python/langchain/overview
LangGraphhttps://reference.langchain.com/python/langgraph/overview
Integrationshttps://reference.langchain.com/python/integrations/overview
LangSmithhttps://reference.langchain.com/python/langsmith
Overviewhttps://reference.langchain.com/python/integrations/overview
Google GenAI (Gemini)https://reference.langchain.com/python/langchain-google-genai
Google Vertex AIhttps://reference.langchain.com/python/langchain-google-vertexai
IBMhttps://reference.langchain.com/python/langchain-ibm
Overviewhttps://reference.langchain.com/python/langchain-qdrant
Vector Storeshttps://reference.langchain.com/python/langchain-qdrant/vector-stores
https://chat.langchain.com/
Google GenAI (Gemini)https://reference.langchain.com/python/langchain-google-genai
Google Vertex AIhttps://reference.langchain.com/python/langchain-google-vertexai
IBMhttps://reference.langchain.com/python/langchain-ibm
Overviewhttps://reference.langchain.com/python/langchain-qdrant
Vector Storeshttps://reference.langchain.com/python/langchain-qdrant/vector-stores
https://pypi.org/project/langchain-qdrant/#history
https://opensource.org/licenses/MIT
https://pypistats.org/packages/langchain-qdrant
the docshttps://docs.langchain.com/oss/python/integrations/providers/qdrant
ClassQdrantVectorStoreErrorQdrantVectorStore related exceptions.https://reference.langchain.com/python/langchain-qdrant/qdrant/QdrantVectorStoreError
ClassRetrievalModeModes for retrieving vectors from Qdrant.https://reference.langchain.com/python/langchain-qdrant/qdrant/RetrievalMode
ClassQdrantVectorStoreQdrant vector store integration.https://reference.langchain.com/python/langchain-qdrant/qdrant/QdrantVectorStore
ClassQdrantExceptionQdrant related exceptions.https://reference.langchain.com/python/langchain-qdrant/vectorstores/QdrantException
ClassSparseVectorSparse vector structure.https://reference.langchain.com/python/langchain-qdrant/sparse_embeddings/SparseVector
ClassSparseEmbeddingsAn interface for sparse embedding models to use with Qdrant.https://reference.langchain.com/python/langchain-qdrant/sparse_embeddings/SparseEmbeddings
ClassFastEmbedSparseAn interface for sparse embedding models to use with Qdrant.https://reference.langchain.com/python/langchain-qdrant/fastembed_sparse/FastEmbedSparse
ClassQdrantdeprecatedQdrant vector store. from qdrant_client import QdrantClient from langchain_qdrant import Qdrant client = QdrantClient() collection_name = "MyCollection" qdrant = Qdrant(client, collectio https://reference.langchain.com/python/langchain-qdrant/vectorstores/Qdrant
Functionmaximal_marginal_relevanceCalculate maximal marginal relevance.https://reference.langchain.com/python/langchain-qdrant/_utils/maximal_marginal_relevance
Functioncosine_similarityRow-wise cosine similarity between two equal-width matrices.https://reference.langchain.com/python/langchain-qdrant/_utils/cosine_similarity
Functionsync_call_fallbackCall the synchronous method if the async method is not implemented. This decorator should only be used for methods that are defined as async in the class.https://reference.langchain.com/python/langchain-qdrant/vectorstores/sync_call_fallback
Modulelangchain_qdranthttps://reference.langchain.com/python/langchain-qdrant/langchain_qdrant
Moduleqdranthttps://reference.langchain.com/python/langchain-qdrant/qdrant
Modulevectorstoreshttps://reference.langchain.com/python/langchain-qdrant/vectorstores
Modulesparse_embeddingshttps://reference.langchain.com/python/langchain-qdrant/sparse_embeddings
Modulefastembed_sparsehttps://reference.langchain.com/python/langchain-qdrant/fastembed_sparse
TypeMatrixhttps://reference.langchain.com/python/langchain-qdrant/_utils/Matrix
TypeMetadataFilterhttps://reference.langchain.com/python/langchain-qdrant/vectorstores/MetadataFilter

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