Weaviate v4 Client not working with LangChain WeaviateVectorStore & ExampleSelector?

Problem:

I recently upgraded to Weaviate v4 and tried to integrate it with LangChain’s WeaviateVectorStore. However, I encountered an error stating that my client must be an instance of WeaviateClient. Additionally, I am using SemanticSimilarityExampleSelector for few-shot learning, which now fails due to this issue.

My Code (With Hidden Configurations):

import weaviate
from weaviate.auth import AuthApiKey
from langchain.prompts import FewShotPromptTemplate, PromptTemplate
from langchain.prompts.example_selector import SemanticSimilarityExampleSelector
from langchain_weaviate.vectorstores import WeaviateVectorStore
from langchain_community.vectorstores import Weaviate
from src.embedding import AliyunEmbedding

# **Connect to Weaviate v4 Client**
client = weaviate.connect_to_custom(
    http_host="my-server-ip",
    http_port=8080,
    http_secure=False,
    grpc_host="my-server-ip",
    grpc_port=50051,
    grpc_secure=False,
    auth_credentials=AuthApiKey("my-api-key")
)

# **Initialize Embedding Model**
embedding_model = AliyunEmbedding(dimensions=1024)

# **Initialize Weaviate VectorStore**
vectorstore = WeaviateVectorStore(
    client=client,
    index_name="CypherExamples",  # ✅ Stores Cypher query examples
    text_key="text",
    attributes=[],
    embedding=embedding_model
)

# **Instantiate ExampleSelector**
example_selector = SemanticSimilarityExampleSelector.from_examples(
    examples=[],  # ✅ Weaviate handles retrieval, so no examples are needed
    vectorstore=vectorstore,
    embeddings=embedding_model,  # ✅ Provide embeddings explicitly
    vectorstore_cls=WeaviateVectorStore,  # ✅ Ensure correct vectorstore class
    k=3  # ✅ Retrieve top 3 most relevant examples
)

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###Error Message:
ValueError: client must be an instance of WeaviateClient

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Any guidance would be greatly appreciated!