This n8n workflow is designed to automate the process of monitoring, analyzing, and logging fuel prices using AI-powered tools integrated with various services. It starts with receiving data through a webhook, processes the information by splitting, embedding, and storing it in a vector database for efficient retrieval. The workflow then leverages AI models for contextual understanding, generating insights, and chatbot interactions, which can be logged into Google Sheets for record-keeping. This setup is ideal for organizations that need real-time fuel price analysis and insights automation, such as fuel stations, logistics companies, or market analysts.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, @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