Use Open-Source LLM via HuggingFace for Chat Automation

Demonstrates integrating an open-source LLM like Mistral-7B from HuggingFace into an n8n chat workflow using a Basic LLM Chain for guided responses.

This n8n workflow showcases how to connect open-source language models from HuggingFace to a Basic LLM node. It triggers on new manual chat messages and processes them through a Language Model Chain configured with a custom prompt that provides clear guidance, such as 'You are a helpful assistant. Please reply politely... Q: {{ $json.input }} A:'. This structured prompting is essential for smaller open-source models to generate coherent, polite responses with emojis. The workflow uses the Mistr
Platform
n8n
Category
Crypto & Blockchain
Price
$6.99
Creator
Leandro Rossi

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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