coree/awesome-rag

A curated list of retrieval-augmented generation (RAG) in large language models

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Emerging

This project offers a curated collection of resources on Retrieval-Augmented Generation (RAG) for large language models. It helps researchers and practitioners explore key papers, lectures, and tools related to building more accurate and factual AI systems. You'll find academic papers detailing various RAG techniques, along with supplementary materials like code repositories and tutorials. This is ideal for AI researchers, machine learning engineers, and data scientists looking to deepen their understanding or implement RAG in their projects.

374 stars.

Use this if you are an AI researcher or practitioner looking for a comprehensive overview and specific resources on Retrieval-Augmented Generation (RAG) to build more capable and reliable language models.

Not ideal if you are looking for a ready-to-use RAG software library or a high-level explanation of RAG for non-technical users.

AI research Natural Language Processing Large Language Models Information Retrieval Machine Learning Engineering

No Package No Dependents

Maintenance 6 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 14 / 25

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Stars

374

Forks

Language

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License

CC0-1.0

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awesome-rag and AutoRAG awesome-rag and Awesome-LLM-RAG awesome-rag and Awesome-LLM-Rag

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