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Gursharan Singh
Gursharan Singh

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RAG in Practice — Complete Series

A practical, production-oriented guide to retrieval-augmented generation — from why AI models fail with live data to the complete RAG pipeline.

The Series

Part 1: Why AI Gets Things Wrong
Frozen knowledge, no live system access, and why fine-tuning doesn't fix the knowledge currency problem.

Part 2: What RAG Is and Why It Works
RAG as a pattern — retrieve first, then generate. The six components and the line between knowledge and reasoning.

Part 3: How RAG Works — The Complete Pipeline
The full RAG pipeline step by step — ingestion, chunking, embedding, retrieval, augmentation, and generation.


This series is actively maintained. New parts will be linked here as they publish.

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