AI-Powered Salmon Conservation & Research Assistant

This n8n workflow automates the process of distilling critical information from research texts and generating focused claims. It begins by intelligently splitting input text into coherent sentences, carefully preserving dates and list structures. These sentences are then fed into a powerful Large Language Model (LLM) via an Ollama integration, specifically tasked with identifying and defining key claims based on provided facts. The workflow is designed for researchers, conservationists, and data scientists who need to quickly extract actionable insights from extensive documentation. By automating this analytical pipeline, users can save significant time and resources, accelerating their progress in vital fields like environmental conservation and biodiversity monitoring.