@hackproduct9: RAG isn’t one architecture. It’s a family of architectures. Most engineers learn “basic RAG” and stop there. But production AI systems rarely do. Depending on the problem, you might need: • Memory • Multi-query retrieval • HyDE • Adaptive routing • Corrective RAG • Self-RAG • Agentic workflows • Multimodal retrieval • Knowledge graphs The right RAG architecture isn’t the most advanced one. It’s the one that fits your data, your users, and your latency requirements. That’s the mental model every AI engineer should build. Save this cheat sheet—you’ll come back to it more than once. @hackproduct #RAG #RetrievalAugmentedGeneration #AIEngineer #LLM #GenerativeAI

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Saturday 27 June 2026 00:47:28 GMT