Build an Environmental Data Dashboard Chatbot with n8n

Overview

This n8n workflow automates the creation of an intelligent chatbot designed to interact with and provide insights from environmental data. The core functionality involves receiving environmental data via a webhook, processing and embedding this data using Langchain's text splitter and OpenAI embeddings, and then storing these embeddings in a Weaviate vector database. Subsequently, users can query this data, with the workflow utilizing a Langchain agent, memory, and a chat model to understand and respond to queries. The final output is logged to a Google Sheet.

This workflow is particularly useful for building custom dashboards and analytical tools where real-time or historical environmental data needs to be easily accessible and queryable through a conversational interface. It solves the problem of extracting meaningful information from raw environmental datasets without requiring extensive coding or complex data visualization tools.