Building Multimodal Workflows with a Local LLM

A multimodal workflow is constructed using a locally run LLM, specifically Google's Gemma 4 via Ollama. This workflow processes image inputs and produces structured JSON outputs, using Pydantic for schema definition. A practical example involves analyzing a collection of travel photos, where the model first extracts detailed, structured information from each individual image and its metadata. These individual analyses are then synthesized in a second, text-only step to create a comprehensive trip summary. The guide also provides a technical workaround for potential issues with multimodal input handling in the local setup.