Detect hallucinations using specialised Ollama model bespoke-minicheck
Detect hallucinations using specialised Ollama model bespoke-minicheck — free, ready-to-import n8n workflow (18 nodes, AI and LLMs).
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Workflow Intelligence
Understand this workflow before you use it.
- Full structure
- No issues found by static checks
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Workflow Intelligence
Understand this workflow before you use it.
Every step's connections are present in the source file, so the flow, paths and structure below reflect the real workflow.
This workflow starts from Manual Trigger and Execute Workflow Trigger and works with AI text processing and custom code.
- Steps
- 13
- Integrations
Overview
**Detect hallucinations using specialised Ollama model bespoke-minicheck**
Category: AI and LLMs · 18 nodes Nodes/integrations used: aggregate, chainLlm, executeWorkflowTrigger, filter, lmChatOllama, lmOllama, splitOut
How to use: download the JSON below, then in n8n choose Import from File (or open the demo link, copy the JSON, and paste with Ctrl+V into the n8n canvas). Add your own credentials and activate.
Source: enescingoz/awesome-n8n-templates (CC-BY-4.0). Credentials were removed and files modified for redistribution — see the library's ATTRIBUTION_AND_LICENSES.md for full license text.
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Detect hallucinations using specialised Ollama model bespoke-minicheck
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