Detect hallucinations using specialised Ollama model bespoke-minicheck

Fact-Checking Workflow Documentation Overview This workflow is designed for automated fact-checking of texts. It uses AI models to compare a given text with a list of facts and identify potential discrepancies or hallucinations. Components 1. Input The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'" trigger b) By calling from another workflow via the "When Executed by Another Workflow" trigger Required inputs: facts: A list of verified facts text: The text to be checked 2. Text Preparation The "Code" node splits the input text into individual sentences Takes into account date specifications and list elements 3. Fact Checking Each sentence is individ

Help me set up the n8n workflow "Detect hallucinations using specialised Ollama model bespoke-minicheck" (https://n8n.io/workflows/2922). It uses: Code, Basic LLM Chain, Ollama Chat Model, Ollama Model. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.