Use Cases
- Automate data extraction from Google Drive
- Enhance data retrieval with AI chat capabilities
- Efficiently manage large datasets in Pinecone
- Facilitate user interactions with processed data
How It Works
Download file from Google Drive Split file into smaller chunks using a text splitter Generate embeddings for each chunk using OpenAI Insert processed data into Pinecone vector store Enable chat interactions for data retrieval
Setup Steps
- 1Import the workflow template
- 2Set the Google Drive file URL in the designated node
- 3Run the 'Test Workflow' to load data into Pinecone
- 4Use the 'Chat' button to interact with the data
Apps Used
Google Drive
OpenAI
Pinecone
Categories
Target Roles
Tags
#process automation
#workflow management
#text processing