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#retrieval

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How to build a basic RAG pipeline for a local LLM

Wire up retrieval-augmented generation from scratch: chunk your documents, embed them, store the vectors, and feed the right context into a local model so it answers from your own data. No cloud required.

Ahmad J · Aug 10, 2026 · 4 min read

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Article · aiDeep read

RAG vs Fine-Tuning: Which One Your Use Case Actually Needs

RAG and fine-tuning solve different problems, knowledge versus behavior, and picking the wrong one wastes money and ships worse results. A practical decision guide with an interactive picker, including why a million-token context window does not retire retrieval.

Ahmad J · Jul 27, 2026 · 10 min read

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Article · ai

What RAG actually is and is not

RAG does not teach a model new facts. It fetches relevant text and pastes it into the prompt, so the model answers from documents instead of memory.

Ahmad J · May 10, 2026 · 4 min read