我试着写一段代码，从Pinecone中找到topK匹配向量，并根据topK结果返回所问问题的摘要。
为此，我使用LangChain和OpenAI（在typescript中创建嵌入）。
这就是代码：

import { PineconeClient } from "@pinecone-database/pinecone";
import { VectorDBQAChain } from "langchain/chains";
import { PineconeStore } from "langchain/vectorstores/pinecone";
import { OpenAIEmbeddings } from "langchain/embeddings/openai";
import { OpenAI } from "langchain/llms/openai";


const embeddings = new OpenAIEmbeddings({
    openAIApiKey: process.env.OPENAI_API_KEY,
});

const pinecone = new PineconeClient();

const model = new OpenAI({
    openAIApiKey: process.env.OPENAI_API_KEY,
});


async function main(namespaceID: string) {

    await pinecone.init({
        apiKey: process.env.PINECONE_API_KEY,
        environment: "us-west4-gcp-free",
    });

    const pineconeIndex = pinecone.Index("index-test");

    const vectorStore = await PineconeStore.fromExistingIndex(
        embeddings,
        { pineconeIndex }
    );

    vectorStore.namespace = namespaceID

    const chain = VectorDBQAChain.fromLLM(model, vectorStore, {
        k: 5,
        returnSourceDocuments: true,
        verbose: true,
    });
    const response = await chain.call({ query: "What is the status of Project X" });
    console.log(response);


}

main("TEST_NAMESPACE")

这段代码运行良好。现在，我希望能够将响应从chain.call（）流式传输到我的控制台。
对此有什么解决方案或变通办法吗？