We’ve been building production RAG systems and kept running into the same failure patterns. Documented everything in a free handbook.

Covers hybrid retrieval (vector + BM25 with rank fusion), knowledge graph integration, semantic/AST-based chunking, multi-stage reranking pipelines, domain-specific RAG for code/SQL/legal/medical, evaluation without ground truth labels, agentic self-correction, and production observability.

118 pages, 16 chapters, free PDF. Happy to discuss any of the architectural trade-offs. Particularly interested in feedback on the hybrid retrieval section (Ch 2) and evaluation frameworks (Ch 11).