Create Instance of QdrantVectorStore with feature of hybird search of Qdrant

[mrst2000]

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Example Code

qdrant = QdrantVectorStore.from_documents(
    documents,
    ids=uuids,
    embedding=get_embeddings,
    sparse_embeddings=sparse_embeddings,
    path=kb_path,
    collection_name=collection_name,
    RetrievalMode=RetrievalMode.HYBRID, 
    vector_name="custom_vector",  
    sparse_vector_name="custom_sparse_vector", 
)

Description

how to make instance of QdrantVectorStore with hybrid search that can use in parentdocument retriver as vectorstore ,
like this

vectorstore = QdrantVectorStore(
client=client,
collection_name=q_name,
embedding=embedding,
RetrievalMode=RetrievalMode.HYBRID,
sparse_embeddings=sparse_embeddings

)

that can use this in ParentDocument retriver

System Info

langchain==0.3.4
langchain-chroma==0.1.4
langchain-community==0.3.3
langchain-core==0.3.12
langchain-groq==0.2.0
langchain-huggingface==0.1.0
langchain-qdrant==0.1.4
langchain-text-splitters==0.3.0