# RAG Query Transformation

> Query expansion, HyDE, and multi-query generation for improved retrieval

- Skill: `a5c-ai/rag-query-transformation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/rag-query-transformation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/rag-query-transformation/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/rag-query-transformation

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# 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