Index Google Drive Docs to Pinecone with OpenAI Embeddings for RAG
Automatically watches a Google Drive folder, processes new documents with text splitting and OpenAI embeddings, then indexes them into Pinecone for RAG and semantic search.
This workflow automates the indexing of documents from a specific Google Drive folder into a Pinecone vector database using OpenAI embeddings. It triggers on new file uploads, searches and downloads files, loops over each one, loads and parses the content, splits text into chunks (e.g., 600 chars with 60 overlap), generates embeddings, and upserts them into Pinecone with custom metadata.
Ideal for building dynamic knowledge bases, it keeps your vector store updated effortlessly, enabling retrie
- Platform
- n8n
- Category
- Website Building
- Price
- $19.99
- Creator
- QualityWorkflows
- Google Drive
- Pinecone
- OpenAI
- Embeddings
- RAG
- Vector Store
- LangChain
- Document Indexing
- AI Automation
- Text Splitter
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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