jxzhangjhu/Awesome-LLM-RAG

Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

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Organizes research across 10+ RAG subcategories (instruction tuning, embeddings, evaluation, optimization) with direct links to papers and implementations, enabling researchers to systematically explore advances beyond basic retrieval-generation pipelines. Covers the complete RAG stack from retrieval mechanics and in-context learning strategies to specialized techniques like graph-based RAG and adaptive routing, alongside curated workshops and foundational texts for practical implementation guidance.

1,312 stars. Actively maintained with 4 commits in the last 30 days.

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