AutomationFlowsAI & RAG › Detect Hallucinations Using Specialised Ollama Model Bespoke-minicheck…

Detect Hallucinations Using Specialised Ollama Model Bespoke-minicheck…

Original n8n title: Detect Hallucinations Using Specialised Ollama Model Bespoke-minicheck (chain Llm)

ByGuido Zockoll @gzockoll on n8n.io

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. The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'"…

Event trigger★★★★☆ complexityAI-powered18 nodesChain LlmOllama ChatExecute Workflow TriggerLm Ollama
AI & RAG Trigger: Event Nodes: 18 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #2922 — we link there as the canonical source.

This workflow follows the Chainllm → Execute Workflow Trigger recipe pattern — see all workflows that pair these two integrations.

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About this workflow

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. The workflow can be initiated in two ways: a) Manually via the "When clicking 'Test workflow'"…

Source: https://n8n.io/workflows/2922/ — original creator credit. Request a take-down →

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