Chat with Internal Documents: Ollama RAG + Supabase + Google Drive
RAG-powered AI agent for chatting with internal docs from Google Drive. Uses Ollama for embeddings/generation and Supabase Vector DB for semantic search with memory.
This n8n workflow creates a conversational AI interface to query internal documents using Retrieval-Augmented Generation (RAG). It automatically ingests files from a Google Drive folder, supporting PDFs, Excel, Google Docs, and text files. Content is extracted, preprocessed, split into chunks, embedded via Ollama, and stored in Supabase Vector DB for efficient semantic retrieval. Old embeddings are purged on updates for accuracy.
The chat agent, triggered by webhook or interface, uses Ollama LL
- Platform
- n8n
- Category
- Marketing
- Price
- $24.99
- Creator
- Ivan Volkov
- RAG
- Ollama
- Supabase
- Google Drive
- Vector DB
- AI Agent
- Document Chat
- Embeddings
- Data Ingestion
- Chatbot
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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