03 – Retrieval-Augmented Generation (RAG) for Large Language Models: A Beginner’s Guide

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Title: 03 – Retrieval-Augmented Generation (RAG) for Large Language Models: A Beginner’s Guide
Category: Learning
Skill Level:
Intermediate (305)

Description:
This hands-on guide introduces *Retrieval-Augmented Generation (RAG)*, a
practical technique for enhancing *Large Language Models (LLMs)* by
integrating external knowledge sources. The resource covers core concepts in
AI, LLMs, and RAG, and provides step-by-step examples and visual explanations
to help learners build more accurate and context-aware AI systems.

The guide leverages *open-source tools* such as *FAISS, Milvus, and
LangChain*, and is designed for learners with basic programming or AI
familiarity who want to move beyond prompt-only approaches toward
production-ready LLM applications.



Link to Resource:
- Open-Source Retrieval-Augmented Generation (RAG) Framework for Large Language Models (LLMs) (https://github.com/DrAlzahrani/Open-Source-LLM-RAG-Enhancement/wiki)

Tags:
ai (271), llm (837), generative-ai (807), deep-learning (303), machine-learning (272)

Domain:
CCMNet (835)

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