HOA Fee Analysis and Knowledge Base Workflow

This n8n workflow automates the analysis and storage of HOA fee-related information to support decision-making and provide insights. It begins with a Webhook trigger that receives user input about HOA fees. The input is then split into manageable text chunks, which are processed using language models to generate embeddings via Hugging Face. These embeddings are stored in a Weaviate vector database for efficient semantic searches.

Subsequently, the workflow allows querying of the stored data to retrieve relevant HOA fee details, which are processed through an AI language model for further analysis or clarification. An agent component interacts with the user prompt to define queries or insights, returning refined results. Throughout the process, a memory buffer maintains context, enabling coherent multi-step interactions.

Finally, the workflow logs all interactions and results into a Google Sheet for record-keeping and future analysis. This setup is ideal for real estate or homeowner association management scenarios, where understanding fee structures and sharing insights efficiently can enhance transparency and decision-making.