Use Cases
- Automate the extraction of text from PDF documents for knowledge management.
- Store customer support FAQs in a vector database for quick retrieval.
- Integrate document data into AI applications for enhanced search capabilities.
How It Works
Trigger the workflow manually to initiate the process. Download the specified PDF file from Google Drive. Load the downloaded document data for processing. Split the text into manageable segments using a recursive character text splitter. Generate embeddings using OpenAI to represent the text data. Store the embeddings in Pinecone for efficient vector search.
Setup Steps
- 1Import the workflow into n8n.
- 2Connect your Google Drive account to enable file downloads.
- 3Set up your OpenAI account for generating embeddings.
- 4Configure your Pinecone account for vector storage.
- 5Test the workflow to ensure all connections are functioning.
Apps Used
Google Drive
OpenAI
Pinecone
Categories
Target Roles
Tags
#document automation
#process automation
#text processing