This workflow automates the creation and management of real estate market trend reports using n8n, integrating webhooks, language models, and vector databases. It begins with a webhook trigger that captures input data, which is then processed into text chunks. These chunks are embedded using Cohere’s API to generate vector representations, which are stored in a Weaviate vector database for efficient semantic search. The workflow includes querying the database to retrieve relevant information and employs language models from Anthropic to generate insightful market trend summaries. The results are then logged into Google Sheets for record-keeping. This seamless automation streamlines data collection, analysis, and reporting for real estate professionals seeking timely market insights.
Automated Real Estate Market Trend Reports
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, stickyNote, webhook |
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