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This workflow implements a website customer support chatbot powered by Groq AI, utilizing a Google Sheets document as its knowledge base. It is designed for organizations seeking to provide automated, AI-driven customer support by integrating conversational AI with structured knowledge stored in spreadsheets. The workflow logically divides into the following blocks:
Overview:
This block receives chat messages initiated by website users, serving as the workflow’s entry point.
Nodes Involved:
Node Details:
@n8n/n8n-nodes-langchain.chatTrigger
Overview:
Manages chat history to maintain conversation context and continuity during interactions.
Nodes Involved:
Node Details:
@n8n/n8n-nodes-langchain.memoryBufferWindow
Overview:
Central logic for processing user input, generating AI responses with memory and knowledge base support.
Nodes Involved:
Node Details:
@n8n/n8n-nodes-langchain.agent
Overview:
Enables the AI Agent to query and retrieve information from a Google Sheets document serving as the knowledge base.
Nodes Involved:
Node Details:
n8n-nodes-base.googleSheetsTool
Overview:
Allows selection of the preferred Large Language Model for generating AI responses, here specifically using Groq AI.
Nodes Involved:
Node Details:
@n8n/n8n-nodes-langchain.lmChatGroq
Node Name | Node Type | Functional Role | Input Node(s) | Output Node(s) | Sticky Note |
---|---|---|---|---|---|
When chat message received | @n8n/n8n-nodes-langchain.chatTrigger | Entry point, receives chat messages | (Webhook) | AI Agent | |
AI Agent | @n8n/n8n-nodes-langchain.agent | Core AI processing agent | When chat message received, Chat History, Choose your prefered LLM, Select your Knowledge Base | Chat History | |
Chat History | @n8n/n8n-nodes-langchain.memoryBufferWindow | Maintains conversational context | AI Agent (ai_memory) | AI Agent (ai_memory) | |
Choose your prefered LLM | @n8n/n8n-nodes-langchain.lmChatGroq | Supplies Groq AI language model | None | AI Agent (ai_languageModel) | |
Select your Knowledge Base | n8n-nodes-base.googleSheetsTool | Provides Google Sheets knowledge base | None | AI Agent (ai_tool) | |
Sticky Note1 | n8n-nodes-base.stickyNote | (No content) | None | None | |
Sticky Note2 | n8n-nodes-base.stickyNote | (No content) | None | None | |
Sticky Note3 | n8n-nodes-base.stickyNote | (No content) | None | None | |
Sticky Note | n8n-nodes-base.stickyNote | (No content) | None | None |
Create the “When chat message received” node
@n8n/n8n-nodes-langchain.chatTrigger
Create the “AI Agent” node
@n8n/n8n-nodes-langchain.agent
Create the “Chat History” node
@n8n/n8n-nodes-langchain.memoryBufferWindow
Create the “Choose your prefered LLM” node
@n8n/n8n-nodes-langchain.lmChatGroq
Create the “Select your Knowledge Base” node
n8n-nodes-base.googleSheetsTool
Wire the connections:
Credential Setup:
Test:
Note Content | Context or Link |
---|---|
This workflow leverages the powerful Groq AI LLM combined with a Google Sheets knowledge base to provide dynamic, context-aware customer support. | Workflow purpose summary |
Ensure Google Sheets API credentials have sufficient permissions to read the knowledge base spreadsheet. | Credential setup note |
The chatTrigger node requires a public webhook URL exposed to the website chat frontend. | Deployment consideration |
Refer to n8n official documentation for setting up LangChain nodes and integrations: https://docs.n8n.io/integrations/builtin/n8n-nodes-langchain/ | Official n8n LangChain node documentation |
Groq AI usage may require account setup and API key management per Groq AI policies. | Groq AI platform details |
Disclaimer: The text provided derives exclusively from an automation workflow created with n8n, an integration and automation tool. This processing strictly respects applicable content policies and contains no illegal, offensive, or protected elements. All data handled is legal and public.
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