Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search,…
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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