How RAG Actually Works
A practical walkthrough of retrieval-augmented generation — what to retrieve, how to chunk, and where systems fail.
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Practical notes on ML, LLMs, agents, and shipping AI systems.
A practical walkthrough of retrieval-augmented generation — what to retrieve, how to chunk, and where systems fail.
Move past clever one-off prompts. Structure instructions, constrain outputs, and evaluate like you mean it.
Agent demos look magical. Reliable agents look boring: tight loops, tool contracts, and hard stop conditions.
A concrete path from folder of docs to a working Q&A endpoint — without drowning in framework soup.