PacktPublishing/Master-Retrieval-Augmented-Generation-RAG-Systems
This is the code repository for Master Retrieval-Augmented Generation (RAG) Systems, published by Packt Publishing
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.
Stars
21
Forks
14
Language
Python
License
MIT
Category
Last pushed
Dec 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/PacktPublishing/Master-Retrieval-Augmented-Generation-RAG-Systems"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG)...
VectorInstitute/fed-rag
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
ictnlp/FlexRAG
FlexRAG: A RAG Framework for Information Retrieval and Generation.
Andrew-Jang/RAGHub
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and...