I can't change the vector store from Chroma to Pinecone

[XubanC]

I was promised that in LangChain you can change vector stores seemlesly, but I can't manage to do it.

Here is my current code which works fine:

vector_store = Chroma(
        collection_name="april-2023-economic",
        embedding_function=embedding,
        persist_directory="src/data/chroma",
    )
return ConversationalRetrievalChain.from_llm(
        model,
        retriever=vector_store.as_retriever(),
        return_source_documents=True,
        #abou verbose=True,
    )

And here is the new code I would like to implement:

pinecone.init(api_key="MY_API_KEY", environment="northamerica-northeast1-gcp")
    index = pinecone.Index("test2")
    embeddings = OpenAIEmbeddings()
    vectorstore = Pinecone(index, embeddings.embed_query, "text")
return ConversationalRetrievalChain.from_llm(
        model,
        retriever=vector_store.as_retriever(),
        return_source_documents=True,
        #abou verbose=True,
    )

When I try implement the pinecone version, I no longer have Sources available:

What am I missing here? I'm new to the framework and any help will be appreciated