Yigtwxx/Awesome-RAG-Production
A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-Augmented Generation (RAG) systems.
This resource helps AI engineers and machine learning practitioners build robust, scalable AI assistants, chatbots, and semantic search tools. It provides a curated list of 'battle-tested' frameworks, databases, and best practices. You'll find tools for handling data, optimizing information retrieval, and monitoring the performance of your AI applications in real-world scenarios.
Use this if you are an AI engineer or ML practitioner looking to move your Retrieval-Augmented Generation (RAG) prototype into a reliable, production-ready system.
Not ideal if you are just starting to learn about RAG concepts or are looking for a basic tutorial for building your first simple RAG application.
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11
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3
Language
Python
License
CC0-1.0
Category
Last pushed
Feb 04, 2026
Commits (30d)
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