The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this
Configured with Chain LLM, Chat Trigger, LM Open Hugging Face Inference. Review the connections and setup before adapting this template.
Node categories in this workflow
- Trigger
- AI & models
Icons describe general node roles, inferred from node types. Inspect the parameters for the configured action.
Drag to pan; use + and − to zoom. Reconstructed from the exported node positions; nothing runs here. Dashed lines represent non-main connections. Full node names and notes appear below.
How it works
The exported workflow contains the following configured nodes. Their connections are shown above; inspect the JSON for the complete logic, expressions, and external actions.
| Node | Category | Type | Operation |
|---|---|---|---|
| When chat message received | Trigger | Chat Trigger | See node parameters |
| Basic LLM Chain | AI & models | Chain LLM | See node parameters |
| Hugging Face Inference Model | AI & models | LM Open Hugging Face Inference | See node parameters |
Setup
- Download the JSON and import it into an isolated n8n instance. Leave the workflow inactive.
- Connect your own credentials through n8n’s credential store. Replace
REPLACE_WITH_*values with your resource identifiers. - Inspect API destinations, Code nodes, database queries, file paths, and outbound actions.
- Run with synthetic data and harmless destinations. Enable triggers only after checking the actual outputs.
Requirements
An n8n instance with the listed node types and compatible versions. Service-connected workflows may require accounts, credentials, or paid APIs.
Credential types declared in the source
huggingFaceApi
Workflow notes
This is an example of basic LLM Chain connected to an open-source model
This is an example of basic LLM Chain connected to an open-source model
The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this
Please note the initial prompt that guides the model:
You are a helpful assistant.
Please reply politely to the users.
Use emojis and a text.
Q: {{ $json.input }}
A:
This way the model "knows" that it needs to answer the question right after the A: .
Since Hugging Face node is this is an inference mode, it does not support LangChain Agents at the moment. Please use Ollama Chat Model node for that
The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this
The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this
Purpose and structure
This folder contains the The Chain is connected to the Mistral-7B-Instruct-v0.1 model, but you can change this workflow. Its executable nodes use chainLlm, chatTrigger, lmOpenHuggingFaceInference. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.
Setup
Import inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.
Entry points
When chat message received
Verification
Sanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.
Attribution
https://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Stickynote/0332_Stickynote_Send_Triggered.json MIT; preserve source notices.