Demo workflow for embedding documents into Supabase vector store, upserting data, and retrieving via AI chat. Integrates Google Drive, LangChain loaders, and Supabase for RAG setups.
This workflow demonstrates comprehensive Supabase operations: inserting embeddings of documents into a vector store, upserting updates to existing records, and retrieving relevant information through chat-based queries powered by AI models. It starts by downloading files from Google Drive, loading them with LangChain's EPUB loader, and then processes them for vector embeddings using consistent models to ensure compatibility across insert, upsert, and retrieval phases.
Key benefits include strea
Platform
n8n
Category
Utilities
Price
$18.99
Creator
BestWorkflows
supabase
vector-database
embeddings
rag
ai-chat
google-drive
langchain
upsert
document-loader
retrieval
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.