rag-retrieval
RAG Retrieval
Comprehensive patterns for building production RAG systems. Each category has individual rule files in rules/ loaded on-demand.
Quick Reference
| Category | Rules | Impact | When to Use |
|---|---|---|---|
| Core RAG | 4 | CRITICAL | Basic RAG, citations, hybrid search, context management |
| Embeddings | 3 | HIGH | Model selection, chunking, batch/cache optimization |
| Contextual Retrieval | 3 | HIGH | Context-prepending, hybrid BM25+vector, pipeline |
| HyDE | 3 | HIGH | Vocabulary mismatch, hypothetical document generation |
| Agentic RAG | 4 | HIGH | Self-RAG, CRAG, knowledge graphs, adaptive routing |
| Multimodal RAG | 3 | MEDIUM | Image+text retrieval, PDF chunking, cross-modal search |
| Query Decomposition | 3 | MEDIUM | Multi-concept queries, parallel retrieval, RRF fusion |
| Reranking | 3 | MEDIUM | Cross-encoder, LLM scoring, combined signals |
| PGVector | 4 | HIGH | PostgreSQL hybrid search, HNSW indexes, schema design |
Total: 30 rules across 9 categories
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