Curated

(5/5)

Detect hallucinations using specialised Ollama model bespoke-minicheck

Build a summary This is useful to run it in an agentic workflow. You may remove the summary part and return the raw array with the found issues.

Integrations Used (4)

Workflow Structure (13 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Execute Workflow Trigger

When Executed by Another Workflow

Set

Edit Fields

Code

Merge

Merge1

Split Out

Split Out1

Langchain.chain Llm

Basic LLM Chain4

Merge

Filter

Aggregate

Langchain.chain Llm

Basic LLM Chain

Langchain.lm Ollama

Ollama Model

Langchain.lm Chat Ollama

Ollama Chat Model

Node Types:

code

logic

default

trigger

transform

Requires credentials

Prerequisites

Required Credentials (1)

Ollama

Used by: Ollama Chat Model, Ollama Model

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~30 min

Score: 60/100

Custom Code

Conditional Logic

4 Integrations

When to Use This Workflow

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workflow.json

{
  "meta": {
    "instanceId": "6e361bfcd1e8378c9b07774b22409c7eaea7080f01d5248da45077c0c6108b99",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "cbc036f7-b0e1-4eb4-94c3-7571c67a1efe",
      "name": "Code",
      "type": "n8n-nodes-base.code",
      "position": [
        -120,
        40
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "// Get the input text\nconst text = $input.item.json.text;\n\n// Ensure text is not null or undefined\nif (!text) {\n throw new Error('Input text is empty');\n}\n\n// Function to split text into sentences while preserving dates and list items\nfunction splitIntoSentences(text) {\n const monthNames = '(?:Januar|Februar|März|April|Mai|Juni|Juli|August|September|Oktober|November|Dezember)';\n const datePattern = `(?:\\\\d{1,2}\\\\.\\\\s*(?:${monthNames}|\\\\d{1,2}\\\\.)\\\\s*\\\\d{2,4})`;\n \n // Split by sentence-ending punctuation, but not within dates or list items\n const regex = new RegExp(`(?<=[.!?])\\\\s+(?=[A-ZÄÖÜ]|$)(?!${datePattern}|\\\\s*[-•]\\\\s)`, 'g');\n \n return text.split(regex)\n .map(sentence => sentence.trim())\n .filter(sentence => sentence !== '');\n}\n\n// Split the text into sentences\nconst sentences = splitIntoSentences(text);\n\n// Output a single object with an array of sentences\nreturn { json: { sentences: sentences } };"
      },
      "typeVersion": 2
    },
...