AI-Powered Visual Data Extraction and Interactive Q&A Workflow

This n8n workflow automates the process of extracting key pages from the Technology and Innovation Report 2025, converting them into images, and embedding those images using Cohere’s multimodal embedding model. These embeddings are stored in a Qdrant vector store for efficient retrieval. The workflow incorporates an AI-powered chat interface that allows users to ask questions related to the report. When a query is related to specific images such as charts or graphs, the system retrieves relevant image embeddings from Qdrant, fetches the images, and uses Cohere’s Command-A Vision model to interpret them and generate detailed responses. This setup enables sophisticated visual data analysis and interactive information retrieval, ideal for technical reports, presentations, or educational content that contains graphical data.