AcademyWorkflowsData and reporting

Detect Hallucinations with Ollama bespoke-minicheck

Editorial, legal and research teams use it for a first check of the claims in a draft against known facts.

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detect-hallucinations-using-specialised-ollama-model-bespoke-minicheck.json

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What it does

This n8n workflow checks a text against a list of verified facts. It splits the text into sentences, asks the bespoke-minicheck model in Ollama whether each sentence is supported, and filters out the unsupported ones. A larger language model then writes a summary of the incorrect statements and a final assessment.

Use cases

  1. 01Check a draft article against a list of facts
  2. 02Flag sentences not supported by approved facts
  3. 03Create a short accuracy summary for human review

Connects

Code · Basic LLM Chain · Ollama Chat Model · Ollama Model

Questions about
Detect Hallucinations with Ollama bespoke-minicheck.

What is Detect Hallucinations with Ollama bespoke-minicheck used for?

Editorial, legal and research teams use it for a first check of the claims in a draft against known facts. This n8n workflow checks a text against a list of verified facts. It splits the text into sentences, asks the bespoke-minicheck model in Ollama whether each sentence is supported, and filters out the unsupported ones. A larger language model then writes a summary of the incorrect statements and a final assessment.

How do I import Detect Hallucinations with Ollama bespoke-minicheck into n8n?

Copy the workflow JSON from this page and paste it onto the n8n canvas with Ctrl+V or Cmd+V. Then connect your credentials in each node.

Is Detect Hallucinations with Ollama bespoke-minicheck safe to use?

It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.

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