Data loading and chat interaction with Pinecone and OpenAI

• Automate data loading from Google Drive to a vector store
• Enable real-time chat interactions with stored data
• Facilitate customer support through AI-driven responses
• Create a knowledge base for quick data retrieval

Fetch a file from Google Drive and set its URL Download the file and load its contents into a Pinecone vector store Split the data into chunks for efficient processing Use OpenAI's language model to generate responses based on chat inputs Retrieve relevant data from the Pinecone index during chat interactions

1. 1
   Import the workflow template into n8n
2. 2
   Set the Google Drive file URL in the designated node
3. 3
   Test the workflow by clicking the 'Test Workflow' button
4. 4
   Ensure the Pinecone index is correctly configured
5. 5
   Start interacting with the chat to retrieve data