Technical blog
Long-form articles and architecture notes on applied AI, data, cloud and software systems. The goal is not to comment on hype, but to clarify the building blocks that turn a GenAI idea into an operational solution.
RAG, LLM serving, GPU cloud, MLOps and product integration, with a field-oriented reading.
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See design the way you see a diff: the assistant proposes a diagram, the human approves the color-highlighted changes, and nothing gets coded before that. A convention that fits Claude Code or Codex.
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LLM, embeddings, inference engine, vector database, GPU cloud, GenAI platform: each building block plays a distinct role. This guide clarifies who does what in a real RAG pipeline.
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