This n8n workflow automates the process of generating captions for uploaded images, storing related data, and logging the results in Google Sheets. The workflow is triggered via a webhook when an image is uploaded or submitted. It intelligently splits image data, creates embeddings, and stores these in a Weaviate vector database for efficient retrieval. A language model then uses this stored data to generate descriptive captions for images, serving as an AI-powered image captioning system. Additionally, the workflow logs the status and errors in a Google Sheet, and sends real-time alerts via Slack in case of issues. This setup is ideal for digital media teams, content creators, or AI developers looking to streamline image annotation and management workflows.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @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, slack, stickyNote, webhook