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The OpenAI is being utilized in the gpt4-pdf-chatbot-langchain repository via the OpenAIEmbeddings class from the 'langchain/embeddings/openai' module. This class is responsible for generating embeddings for the text data, which are subsequently used in the Pinecone vector store.

Here is the relevant code snippet:

import { OpenAIEmbeddings } from 'langchain/embeddings/openai';
...
const vectorStore = await PineconeStore.fromExistingIndex(
  new OpenAIEmbeddings({}),
  {
    pineconeIndex: index,
    textKey: 'text',
    namespace: PINECONE_NAME_SPACE, //namespace comes from your config folder
  },
);

The OpenAIEmbeddings class is initialized without any arguments, which suggests that it probably uses the OPENAI_API_KEY from the environment variables internally. If you comment out OPEN_AI_KEY, you might be receiving an error because the OpenAIEmbeddings class cannot find the API key it needs to function properly.

However, without the source code of the OpenAIEmbeddings class, it's difficult to confirm this. The actual implementation details of how the OPENAI_API_KEY is used would be in the 'langchain/embeddings/openai' module.

You can find more details in the pages/api/chat.ts file.

Please ensure that the OPENAI_API_KEY is correctly set in your environment variables. If the problem persists, it would be helpful to have more information about your setup or any changes you've made to the code.

Sources

pages/api/chat.ts

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mayooear / gpt4-pdf-chatbot-langchain

s #452

Sources