Block 1 - HTML
- Type / Role
- n8n-nodes-base.html - html
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
AI Agent via GoHighLevel SMS with Website Based Knowledgebase This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built b...
n8n-nodes-base.html, @n8n/n8n-nodes-langchain.vectorstoreinmemory, @n8n/n8n-nodes-langchain.embeddingsopenai, @n8n/n8n-nodes-langchain.documentdefaultdataloader, @n8n/n8n-nodes-langchain.textsplitterrecursivecharactertextsplitter, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitout
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Cyril Nicko Gaspar.
Original n8n.io sourceThis n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built by scraping the company's website.
Traditional customer support systems often require manual data entry and lack real-time updates from the company's website. This workflow automates the process by:
Before deploying this workflow, ensure you have:
For self-hosted n8n instances:
n8n-nodes-brightdata.Docs: https://docs.n8n.io/integrations/community-nodes/installation/gui-install
Authorization.Bearer <your_api_key_from_Bright_Data>.locations.readonly contacts.readonly contacts.write opportunities.readonly opportunities.write users.readonly conversations/message.readonly conversations/message.write
https://auth.gohighlevel.com/oauth/authorizehttps://auth.gohighlevel.com/oauth/tokenlocations.readonly contacts.readonly contacts.write opportunities.readonly opportunities.write users.readonly conversations/message.readonly conversations/message.write
Docs: https://docs.n8n.io/integrations/builtin/credentials/highlevel
This n8n workflow combines Bright Dataโs scraping tools and GoHighLevelโs SMS interface with AI query handling to deliver a real-time, conversational support experience. Ideal for businesses that want to turn their website into a live knowledge source via SMS, this agent keeps itself updated, smart, and customer-ready.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 43 workflow blocks. Download the JSON for the full node graph.
| Workflow | Create an automated customer support assistant with GPT-4o and GoHighLevel SMS |
|---|---|
| Complexity | advanced |
| Nodes | 43 |
| Categories | Support Chatbot, AI RAG |
| Author | Cyril Nicko Gaspar |
| Published | 19 May 2025 |
Use the JSON export at /data/workflows/4223/4223.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI Agent via GoHighLevel SMS with Website Based Knowledgebase This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built b...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI RAG use case.