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.

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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.

AI engineering large language models (LLMs) semantic search chatbot development ML operations
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 13 / 25
Community 14 / 25

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Stars

11

Forks

3

Language

Python

License

CC0-1.0

Category

local-rag-stacks

Last pushed

Feb 04, 2026

Commits (30d)

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