/rag-query-transformation

name: rag-query-transformation
description: Query expansion, HyDE, and multi-query generation for improved retrieval
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:retrieval-augmented-generation, skill-area:prompt-engineering]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:ml-model-lifecycle, workflow:feature-development]

RAG Query Transformation Skill

Capabilities

• Implement query expansion techniques
• Configure Hypothetical Document Embeddings (HyDE)
• Set up multi-query generation
• Design query decomposition strategies
• Implement step-back prompting
• Configure query routing for specialized indices

Target Processes

• advanced-rag-patterns
• knowledge-base-qa

Implementation Details

Transformation Techniques

1. **Multi-Query Generation**: Generate query variations 2. **HyDE**: Generate hypothetical answer, embed that 3. **Query Decomposition**: Break complex queries into sub-queries 4. **Step-Back Prompting**: Generate higher-level queries 5. **Query Expansion**: Add synonyms and related terms

Configuration Options

• Number of query variations
• LLM for query generation
• Decomposition depth
• Query routing rules
• Result fusion strategy

Best Practices

• Match technique to query complexity
• Test with representative queries
• Monitor retrieval quality changes
• Balance latency vs quality tradeoffs

Dependencies

• langchain
• LLM provider