AI-Powered Open House Assistant with Dynamic Knowledge Base
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Automate intelligent interactions for your open houses with this powerful n8n workflow. It combines a dynamic knowledge base, AI language models, and conversational memory to provide instant, accurate responses and seamlessly log all interactions.
About This Workflow
Supercharge your real estate operations with this advanced AI workflow. Designed to manage and respond to open house inquiries, it dynamically builds a knowledge base using Supabase Vector Store, ingesting new information via a webhook and embedding it with Cohere. An intelligent Langchain Agent, powered by OpenAI's chat model and a buffer memory, leverages this knowledge base to answer questions, provide reminders, and assist potential buyers with personalized, context-aware information. All interactions are meticulously logged in Google Sheets, ensuring you never miss a beat and have a complete record of engagement. This workflow transforms how you handle open house communications, making them efficient, smart, and scalable.
Key Features
- Dynamic Knowledge Base: Easily ingest and update open house information into a Supabase Vector Store, ensuring your AI always has the latest data.
- Intelligent AI Agent: Powered by Langchain, OpenAI, and Cohere, this agent understands natural language queries and provides accurate, context-rich responses.
- Conversational Memory: The AI maintains context throughout interactions, offering a more natural and helpful experience for users.
- Automated Logging: Seamlessly record all AI interactions and outputs into Google Sheets for compliance, analysis, and follow-up.
- Webhook Triggered: Integrate effortlessly with your existing systems to trigger data updates or inquiries.
How To Use
- Set up Webhook: Configure the
Webhooknode to listen for incoming data, specifying a path like/open_house_reminder. This will be your entry point for both data ingestion and queries. - Connect Credentials: Provide your
Cohere APIcredentials for embeddings,Supabase accountcredentials for your vector store (ensuringopen_house_reminderindex exists),OpenAIcredentials for the chat model, andGoogle Sheets OAuth2 APIcredentials for logging. - Define Agent Prompt: Customize the
Agentnode's prompt to guide its behavior, specifying its role (e.g., "You are an Open House Assistant") and how it should use the provided tools. - Send Data: To ingest new data, send a POST request to your webhook with the property details. To query the agent, send a POST request containing the user's question.
- Monitor Logs: Review the
Google Sheetnamed "Log" to track all interactions and responses from your AI assistant.
Apps Used
Workflow JSON
{
"id": "4238e500-be45-431e-94c5-731ff1bb421a",
"name": "AI-Powered Open House Assistant with Dynamic Knowledge Base",
"nodes": 14,
"category": "Sales",
"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: 4238e500-be45...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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