Real Estate Market Trend Analysis with AI and RAG
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Automate your real estate market trend reporting with this powerful n8n workflow. It leverages AI, Retrieval-Augmented Generation (RAG), and vector databases to analyze market data, generate insights, and log them to Google Sheets.
About This Workflow
This sophisticated n8n workflow revolutionizes real estate market trend analysis. Triggered by a webhook, it ingests raw market data, intelligently chunks it using a text splitter, and transforms it into rich vector embeddings via Cohere. These embeddings are then stored in a Weaviate vector database, forming a robust knowledge base. An advanced AI agent, powered by Anthropic's LLM and equipped with conversational memory and Weaviate search capabilities, processes queries or tasks. It retrieves relevant information from your custom data to generate accurate, context-aware trend reports, which are then meticulously logged into Google Sheets for easy tracking and sharing.
Key Features
- Automated Data Ingestion: Easily trigger analysis by sending raw market data via a simple webhook.
- Advanced RAG Architecture: Combines Anthropic's powerful LLM with a Weaviate vector database for accurate, context-aware information retrieval.
- Intelligent Text Processing: Automatically splits and embeds market data using Cohere for efficient storage and semantic search.
- Conversational AI Agent: Utilizes an AI agent with memory to understand context and generate detailed, relevant market trend reports.
- Centralized Reporting: Logs all generated reports and insights directly into Google Sheets for streamlined data management and accessibility.
How To Use
- Set up Webhook: Copy the Webhook URL and configure your data source to POST raw market trend data to this endpoint.
- Configure Credentials:
- Cohere: Provide your Cohere API key for text embedding.
- Weaviate: Set up your Weaviate instance credentials for vector database storage and retrieval.
- Anthropic: Enter your Anthropic API key for the LLM agent.
- Google Sheets: Authenticate your Google Sheets account to enable logging.
- Define Agent's Purpose: Modify the 'Agent' node's prompt (currently
{{ $json }}) to define specific tasks or questions the AI should address based on the incoming webhook data. - Specify Google Sheet: In the 'Sheet' node, update
SHEET_IDwith your target Google Sheet's ID and ensuresheetNamematches your desired log sheet. - Test and Deploy: Run the workflow manually to test its functionality, then activate it for automated market trend reporting.
Apps Used
Workflow JSON
{
"id": "24766e34-0f26-4056-a466-22a01e35cb80",
"name": "Real Estate Market Trend Analysis with AI and RAG",
"nodes": 22,
"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: 24766e34-0f26...
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