This n8n workflow automates the process of collecting, storing, analyzing, and logging renewable incentive data using AI-powered tools and integrations. It starts with a webhook that receives data submissions related to renewable incentives, which are then split into manageable chunks for processing. The workflow utilizes language models for embedding, semantic search, and natural language understanding, storing data in a Pinecone vector database and querying it for relevant information. An AI agent synthesizes insights, which are then logged automatically into Google Sheets. This setup is ideal for organizations tracking renewable incentives, enabling real-time data processing, intelligent analysis, and seamless record-keeping.

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.vectorStorePinecone, googleSheets, stickyNote, webhook