PacktPublishing/Master-Retrieval-Augmented-Generation-RAG-Systems

This is the code repository for Master Retrieval-Augmented Generation (RAG) Systems, published by Packt Publishing

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This course helps AI practitioners, data scientists, and machine learning engineers build and refine AI systems that can provide highly accurate and relevant answers by accessing external knowledge. You'll learn to take a collection of documents and a user's question, then develop a system to find the best information and generate a precise, informed response. It's designed for anyone looking to enhance their AI applications' ability to answer complex queries reliably.

Use this if you need to build AI applications that deliver accurate, context-rich answers by dynamically retrieving information from a large dataset or knowledge base.

Not ideal if you're looking for a pre-built, ready-to-deploy RAG system rather than learning the underlying implementation and optimization techniques.

AI-application-development information-retrieval natural-language-processing question-answering-systems knowledge-base-integration
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 18 / 25

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21

Forks

14

Language

Python

License

MIT

Last pushed

Dec 15, 2025

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