Automated Zoning Regulation Checker for Real Estate
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This workflow automatically checks zoning regulations for real estate properties using AI and a vector database. It leverages webhook triggers, text splitting, embeddings, and a Redis vector store to provide intelligent responses.
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About This Workflow
Overview
This n8n workflow automates the process of checking zoning regulations for real estate properties. It's designed to handle incoming requests via a webhook, process the property details, and query a knowledge base of zoning laws stored in a Redis vector database. The workflow utilizes Langchain nodes to split text, generate embeddings, perform vector searches, and manage conversation memory, ultimately feeding the information to an AI agent for a coherent response. The results are then logged to a Google Sheet.
Key Features
- Real-time zoning regulation checks via webhook.
- Utilizes Langchain for advanced AI text processing and embeddings.
- Stores and retrieves zoning data efficiently using Redis Vector Store.
- Maintains conversation context with a memory buffer.
- Logs all queries and responses to a Google Sheet for auditing.
How To Use
- Set up Webhook: Configure the 'Webhook' node with your desired HTTP method and path. This will be your API endpoint.
- Configure Text Splitter: Adjust the 'Splitter' node's
chunkSizeandchunkOverlapto optimize text processing for your zoning documents. - Set up Embeddings: Ensure your OpenAI API credentials are set in the 'Embeddings' node.
- Configure Redis Vector Store: Set up your Redis credentials and specify the
indexNamein both the 'Insert' and 'Query' nodes. - Populate Vector Store: Use the 'Insert' node to add your zoning regulation documents into the Redis vector store. The 'Splitter' and 'Embeddings' nodes will process the text.
- Configure AI Nodes: Set up the 'Chat' node with your preferred Hugging Face model and configure the 'Agent' node with the appropriate prompt type and text input.
- Manage Memory: The 'Memory' node helps maintain conversation context.
- Integrate Tool: The 'Tool' node connects the vector store query to the AI agent.
- Log to Sheet: Configure the 'Sheet' node with your Google Sheet ID and sheet name to log all interactions.
Apps Used
Workflow JSON
{
"id": "a2828942-28b2-4938-80ae-a86382cddbd2",
"name": "Automated Zoning Regulation Checker for Real Estate",
"nodes": 0,
"category": "Real Estate Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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