Fact-checking article sentences against a source document with Ollama
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Workflow Description
A smart workflow that receives text inputs, processes them through local language models and LLM chains, analyzes and filters content, then automatically publishes refined posts to X while maintaining manual control when needed.
How it works
- 1.Receive manual inputs or external triggers for processing
- 2.Process text through LLM chains and local Ollama models
- 3.Filter and segment content according to defined criteria
- 4.Merge results and apply advanced conditional logic
- 5.Automatically publish refined content to X
Use cases
- Generate and publish smart social content without manual intervention
- Analyze and filter messages before posting to X
- Automate conversion of raw ideas into professional posts
Requirements
- Local Ollama model or accessible server instance
- Active X/Twitter account with API credentials
- Input text sources or data for processing
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (13)
Code
Code
Split Out1
Split Out
Basic LLM Chain4
LLM Chain
Ollama Chat Model
Lm Chat Ollama
When clicking ‘Test workflow’
Manual Trigger
Edit Fields
Set
Merge
Merge
Filter
Filter
When Executed by Another Workflow
Execute Workflow Trigger
Aggregate
Aggregate
Merge1
Merge
Basic LLM Chain
LLM Chain
Ollama Model
Lm Ollama
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
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