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hardSystem Design

How would you design a production RAG pipeline end-to-end in 2025-26?

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01

Understand the problem

Ingestion, chunking, embeddings, vector store, hybrid retrieval, rerank, generation and eval — the full 1M-doc RAG architecture.

ragarchitectureretrieval
02

Attempt it yourself

Sketch your approach before reading the solution — that's what interviews test.

Nudge consolestandby

Stuck? Beam a request up — the console returns a conceptual nudge that guides your logic without spoiling the implementation.

03

Study the solution

A production RAG pipeline is ingestion -> chunk -> embed -> store with metadata -> hybrid retrieve (vector + BM25) -> rerank -> stuff+generate with citations -> eval loop. Every stage is observable and versioned.

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04

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