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From the Nexolvi Lab: Notes on AI, engineering, and building what's next.

A running log of what we're learning as we ship AI-first products across engineering, design, cloud, and growth. Deep dives, playbooks, and the occasional strong opinion.

Arctificial Intelligence 1 min

How to Use RAG: A Practical Guide to Retrieval-Augmented Generation

Nexolvi on Aug 11, 2026

Large language models know a lot, but they don't know your data. They can't cite your company's documentation, reference last quarter's sales figures, or answer questions about the proprietary system you built last year. RAG fixes this by letting you feed external information into an LLM at query ti

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