Medical Records AI Chatbot: Google Drive, Llama 3 & Qdrant RAG

Build an AI chatbot that retrieves and queries medical records from Google Drive using RAG, Llama 3 for responses, and Qdrant for vector storage, enabling accurate healthcare queries.

This n8n workflow sets up a powerful document-based AI chatbot tailored for healthcare, specifically medical records stored in Google Drive. It automatically detects new files via a Google Drive trigger, downloads them, splits text into chunks with a Recursive Text Splitter, generates embeddings using Ollama's Nomic-Embed model, and stores them in Qdrant vector database for efficient retrieval. When users query via the Chat Trigger, the AI Agent searches Qdrant for relevant context and generates
Platform
n8n
Category
Healthcare
Price
$24.99
Creator
Bryce Yu

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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