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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…

The short answer

Detect hallucinations using specialised Ollama model bespoke-minicheck is a n8n workflow for Document Extraction. 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… It is rated intermediate and runs locally — free and private, with 8 custom nodes required.

Import / view source
Use case
Document Extraction
Difficulty
intermediate
Author
Guido Zockoll
Updated
Jul 23, 2026

Required custom nodes

  • code
  • executeWorkflowTrigger
  • manualTrigger
  • filter
  • chainLlm
  • lmChatOllama
  • lmOllama
  • aggregate

Detect hallucinations using specialised Ollama model bespoke-minicheck

A working n8n automation that runs against a local model via Ollama - 2,483 views on the n8n template library. 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…

What it does

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… It chains 12 nodes, integrating code, executeWorkflowTrigger, manualTrigger, filter.

Requirements

  • n8n (self-hosted, free) to run the workflow
  • Ollama serving a local model
  • A GPU with enough VRAM for your chosen model (see best model per GPU)

Import it

Open the workflow on the n8n template library and click Use workflow to import it into your self-hosted n8n, then point its model node at your local Ollama endpoint (http://localhost:11434).

Use it with

n8n · Ollama

Workflow by Guido Zockoll on the n8n template library. We link to the original to import; credit and the workflow JSON belong to its author.

Frequently asked

What does the Detect hallucinations using specialised Ollama model bespoke-minicheck workflow do?

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… It is a n8n workflow built for Document Extraction.

What do I need to run Detect hallucinations using specialised Ollama model bespoke-minicheck?

Detect hallucinations using specialised Ollama model bespoke-minicheck runs on n8n and needs 8 custom nodes. It runs entirely on your own machine.

Is Detect hallucinations using specialised Ollama model bespoke-minicheck free to use?

Yes. Detect hallucinations using specialised Ollama model bespoke-minicheck is a local, self-hosted n8n workflow — there are no per-run or API costs once your hardware is set up.

How hard is it to set up Detect hallucinations using specialised Ollama model bespoke-minicheck?

Detect hallucinations using specialised Ollama model bespoke-minicheck is rated intermediate. Expect some configuration; review the required components first.