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RAG Architecture Explained for Backend Engineers

This story is from 2026-08-25. It is preserved in the archive; the latest stories are on the live feed.

⚡ TL;DR: Make an LLM answer questions about your own data without retraining it. If you know APIs and databases, you can build the full RAG pipeline, pick the right vector store, and know when fine-tuning beats retrieval instead. Contents The model is frozen, your data isn't The picture: two flows,…

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  1. 2026-08-25 11:20 · DEV Community — Machine Learning
    RAG Architecture Explained for Backend Engineers

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