Use Cases
- Load large datasets from Google Drive into a vector store for efficient querying.
- Enable chat interactions that retrieve relevant data chunks based on user queries.
- Facilitate data-driven decision-making by embedding and storing information in a vector format.
How It Works
Download a specified file from Google Drive. Process the file into chunks using a recursive character text splitter. Embed the chunks using OpenAI embeddings for enhanced data representation. Store the embedded data in a Pinecone vector store. Enable chat interactions to retrieve relevant data based on user queries.
Setup Steps
- 1Import the workflow template into n8n.
- 2Set the Google Drive file URL in the 'Set Google Drive file URL' node.
- 3Configure the Pinecone index settings for data storage.
- 4Test the workflow by clicking the 'Test Workflow' button to load data.
Apps Used
Google Drive
Pinecone
OpenAI
Categories
Target Roles
Tags
#process automation
#workflow management
#ai assistants