Automated Property Description Generator and Logger

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This workflow automates the creation and logging of property descriptions by integrating multiple services and AI models. It begins with a webhook trigger to receive property details, then splits the content into manageable chunks for processing. Using Hugging Face models, it generates embeddings for semantic understanding and stores them in a vector database (Supabase). Query nodes retrieve relevant property data, which is then used by a language model to generate a detailed property description. The generated descriptions are logged into a Google Sheet for record-keeping and analysis. This workflow is ideal for real estate agencies or property management companies seeking to automate property listing descriptions, ensuring consistency, relevance, and efficiency in their listings.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, stickyNote, webhook

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