PacktPublishing/Master-Retrieval-Augmented-Generation-RAG-Systems
This is the code repository for Master Retrieval-Augmented Generation (RAG) Systems, published by Packt Publishing
Covers naive through advanced RAG implementations with hands-on techniques including query expansion, dense passage retrieval, and cross-encoder/bi-encoder re-ranking for optimized document retrieval. Integrates practical optimization strategies for answer generation and demonstrates how to apply these patterns within AI applications through progressive, project-based learning modules.
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14
Language
Python
License
MIT
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Last pushed
Dec 15, 2025
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