RAG in production: a comprehensive guide to retrieval augmented generation

Mental model: production‑grade RAG

Production RAG is not “embed everything, call vector DB, drop chunks into an LLM.” It is an information system with explicit design choices at each layer: ingestion, retrieval, generation, and observability. Think of each topic below as a lever you can tune independently.
muhammad-fiaz.github

Chunking strategies that actually work

There is no universally optimal chunk size; “what is a chunk?” is a product decision, not a magic number. Aim for chunks that preserve local coherence (one idea, section, or page) and align

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Rizwan Saleem | https://rizwansaleem.co