Papers · v1.0 · 32 pages

Production-Grade RAG Blueprint

Embedding strategy, hybrid search, reranking, and evaluation loops for enterprise retrieval at scale.

Architecture diagram context
Reference deployment topology — gateway, inference, and data plane.

Executive summary

RAG prototypes die in production on chunking, evaluation, and ops — not embeddings.

Reference architecture

Illustration

Hybrid search (BM25 + vector) with cross-encoder reranking remains the enterprise default in 2026.

Knowledge Graph

Related

AI is easy. Running it in production is hard.