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Duplicate Detection

Simili Bot uses AI to automatically identify when a new issue is a duplicate of an existing one.

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How it works

  1. Find Similar Issues - Use semantic search to find related issues
  2. Analyze with AI - Use Gemini LLM to determine if truly duplicates
  3. Calculate Confidence - Return confidence score (0.0-1.0)
  4. Post Comment - Notify about duplicates with reasoning

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Example

New Issue: “Can’t log in with email” Simili Bot finds similar issues and analyzes:
  • #456: “Email login broken” (94% similarity, 87% duplicate confidence)
  • #123: “Authentication issues” (88% similarity, 76% duplicate confidence)
Posts comment: 
🔍 Duplicate Analysis

This issue appears to be a duplicate of #456:

Duplicate Confidence: 87%
Both issues describe email authentication failures with identical symptoms.

Suggested Action: Close as duplicate and reference #456

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Configuration

Control duplicate detection via workflow selection: 
# In workflow
- uses: similigh/simili-bot@v0.1.0
  with:
    workflow: "issue-triage"  # Includes duplicate detection
    # or
    workflow: "similarity-only"  # Skip duplicate detection

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Confidence scores

  • 90-100%: Very likely duplicate
  • 75-90%: Probably duplicate
  • 50-75%: Possibly related
  • <50%: Not a duplicate

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Benefits

✅ Prevent scattered discussions ✅ Consolidate related issues ✅ Reduce duplicate work ✅ Improve issue tracking

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Next steps

Semantic search

How semantic search powers duplicate detection