Automatically analyzes RAG pipeline retrieval results and generates optimized query refinement suggestions to improve answer relevance.

rag-query-optimizer — Automatically analyzes RAG pipeline retrieval results and generates optimized query refinement suggestions to improve answer relevance.

• Analyze RAG pipeline retrieval results for relevance patterns and gaps
• Detect low-relevance retrievals through statistical score analysis
• Identify query-document semantic mismatches
• Generate intelligent query refinement suggestions based on retrieval analysis
• Suggest synonym expansions and contextual rewrites
• Recommend query decomposition strategies for complex queries
• Support multiple RAG pipeline configurations and retrieval strategies
• Provide CLI interface for direct query optimization tasks
• Integrate seamlessly with OpenClaw agent workflows
• Handle errors gracefully with non-zero exit codes on failure

# Analyze a retrieval results file
node scripts/main.js analyze <results-file>

# Analyze with custom configuration
node scripts/main.js analyze <results-file> --config <config-file>

# Output as JSON
node scripts/main.js analyze <results-file> --format json

# Show help
node scripts/main.js --help

node scripts/main.js analyze results.json --format json

## 9. Error Handling

| Exit Code | Meaning |
|-----------|---------|
| 0 | Success — suggestions generated |
| 1 | General error — unexpected failure |
| 2 | Invalid input — malformed results file |
| 3 | Configuration error — invalid config |
| 4 | No results — empty retrieval data |

Source code: github.com/NeoSkillFactory/rag-query-optimizer

MIT © NeoSkillFactory