Smart Support Chatbot with AI and Knowledge Base
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Empower your support team or self-service with an intelligent AI chatbot. This n8n workflow leverages OpenAI's GPT-4o-mini and a custom knowledge base (Acuity Scheduling Support via Algolia) to provide instant, accurate answers to user queries, enhancing customer satisfaction and reducing response times.
About This Workflow
This powerful n8n workflow establishes a sophisticated AI chatbot designed to efficiently answer user questions by tapping into a dedicated knowledge base. Upon receiving a chat message, the system routes it through an OpenAI GPT-4o-mini model, equipped with a simple memory for contextual conversations. A key component is the custom "Knowledgebase Tool," which intelligently queries the Acuity Scheduling Support Center's Algolia-powered search API. If relevant information is found, the workflow extracts titles, bodies, and URLs of support articles, providing the AI with the necessary context to formulate a precise and helpful response. This ensures users receive accurate, up-to-date information directly from your support documentation.
Key Features
- AI-Powered Chat Interface: Interact with users through a natural language chatbot powered by OpenAI's GPT-4o-mini.
- Contextual Conversation Memory: Maintains chat history to provide more relevant and coherent responses throughout a conversation.
- Integrated Knowledge Base Search: Automatically queries your specified knowledge base (e.g., Acuity Scheduling Support) for answers.
- Smart Content Extraction: Extracts critical information like article titles, bodies, and direct URLs from search results for precise responses.
- Automated Support Assistance: Reduces manual support workload by automating answers to frequently asked and complex questions.
How To Use
- Configure
When chat message received: This is your entry point. Ensure it's correctly integrated with your chosen chat platform (e.g., a custom chat frontend, messaging app, etc.). No specific parameters are needed beyond default setup for typical chat inputs. - Set up
OpenAI Chat Model: Provide your OpenAI API credentials. Thegpt-4o-minimodel is pre-selected, but you can adjust it to other available models if needed. - No Configuration for
Simple Memory: This node works out-of-the-box to provide conversational context, maintaining a history of the chat. - Configure
Knowledgebase Tool:- The
name(acuity_support_search) anddescriptionare crucial for the AI to understand when and how to use this tool. - The
workflowIdis dynamically set to the current workflow, ensuring the tool triggers the search within this same workflow. - The
workflowInputsare defined to accept aqueryparameter from the AI, which will be the user's search term.
- The
- Configure
Acuity Support Search API(HTTP Request):- This node performs the actual search against the Acuity Scheduling Support Algolia index. Update
x-algolia-application-idandx-algolia-api-keyif you are adapting this to a different Algolia instance. - Review and adjust
headerParametersas necessary to match the requirements of your specific API. - The
jsonBodyconstructs the search query using thequeryinput from the AI.
- This node performs the actual search against the Acuity Scheduling Support Algolia index. Update
Has Results?(If node): This node automatically checks if the search API returned any relevant articles.Results to Items(Split Out node): This node processes each search result individually, preparing them for data extraction.Extract Relevant Fields(Set node): This node mapstitle,body_safe, andidfrom the search results to standardtitle,body, andurlfields. Adjust these mappings if your search API returns different field names or if you need additional data.Aggregate Response(Aggregate node): This node collects all extracted items into a single array namedresponse, which will be passed back to the AI model.Empty Response(Set node - on 'false' branch of 'Has Results?'): This ensures an empty array is passed to the AI if no search results are found, allowing the AI to handle cases with no relevant information gracefully.
Apps Used
Workflow JSON
{
"id": "b6144055-02dc-44da-89d7-8c4534d54d3d",
"name": "Smart Support Chatbot with AI and Knowledge Base",
"nodes": 29,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: b6144055-02dc...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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