# RAG for recommendation

Area: [Retrieval-augmented generation](https://mlsanity.com/rag/index.md). HTML: https://mlsanity.com/rag/rag-for-recommendation/

## Key facts

- RAG for recommendation: 50 papers on arXiv since 2023 (data through 7 Oct 2026).
- 11 of its 50 mapped papers (22%) cite “CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation” (2024, arXiv 2403.06447).
- 9 of its 50 mapped papers (18%) cite “Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation” (2025, arXiv 2501.02226).

## Most cited here

- [CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation](https://mlsanity.com/paper/2403.06447/) (2024), cited by 11 papers here
- [Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation](https://mlsanity.com/paper/2501.02226/) (2025), cited by 9 papers here
- [G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation](https://mlsanity.com/paper/2502.12586/) (2025), cited by 6 papers here
- [Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking](https://mlsanity.com/paper/2406.00033/) (2024), cited by 3 papers here
- [RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning](https://mlsanity.com/paper/2502.06101/) (2025), cited by 3 papers here
- [Graph Retrieval-Augmented LLM for Conversational Recommendation Systems](https://mlsanity.com/paper/2503.06430/) (2025), cited by 3 papers here
- [RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation](https://mlsanity.com/paper/2309.10469/) (2023), cited by 1 papers here
- [Federated Recommendation via Hybrid Retrieval Augmented Generation](https://mlsanity.com/paper/2403.04256/) (2024), cited by 1 papers here
- [RAMO: Retrieval-Augmented Generation for Enhancing MOOCs Recommendations](https://mlsanity.com/paper/2407.04925/) (2024), cited by 1 papers here
- [Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation](https://mlsanity.com/paper/2409.18003/) (2024), cited by 1 papers here