參考資料
[1] Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation.
https://arxiv.org/pdf/2502.08826
[2] Retrieving Multimodal Information for Augmented Generation: A Survey.
https://arxiv.org/pdf/2303.10868
[3] A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.
https://arxiv.org/pdf/2405.06211
[4] Retrieval-Augmented Generation for Large Language Models: A Survey.
https://arxiv.org/pdf/2312.10997
[5] LightRAG: Simple and Fast Retrieval-Augmented Generation.
https://arxiv.org/pdf/2410.05779
[6] Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG.
https://arxiv.org/pdf/2501.09136
[7] ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization.
https://arxiv.org/pdf/2405.06683
[8] Graph Retrieval-Augmented Generation: A Survey.
https://www.arxiv.org/pdf/2408.08921
[9] Evaluation of Retrieval-Augmented Generation: A Survey.
https://arxiv.org/pdf/2405.07437
[10] Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey.
https://arxiv.org/pdf/2504.14891
[11] From Local to Global: A Graph RAG Approach to Query-Focused Summarization.
https://arxiv.org/pdf/2404.16130
[12] RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.
https://arxiv.org/pdf/2502.11371
[13] Introduction to RAG | LlamaIndex Python Documentation.
https://developers.llamaindex.ai/python/framework/understanding/rag/
[14] All-in-RAG | A Full-Stack Guide to RAG in Large-Model Application Development.
https://datawhalechina.github.io/all-in-rag/#/en/
[15] Ilya Rice: How I Won the Enterprise RAG Challenge.
https://abdullin.com/ilya/how-to-build-best-rag/
[16] RAG Research Table - Awesome Generative AI Guide (GitHub).
[17] RAG is dead, long live agentic retrieval.
https://www.llamaindex.ai/blog/rag-is-dead-long-live-agentic-retrieval
[18] LLM/RAG Zoomcamp 課外補充 5：RAG 演進中的常見評估方法和市場偏好。
https://vip.studycamp.tw/t/llmrag-zoomcamp-課外補充-5：rag-evolution-常見評估方法和市場偏好/8185
[19] How to Evaluate Retrieval Augmented Generation (RAG) Applications.
https://zilliz.com.cn/blog/how-to-evaluate-rag-zilliz
[20] RAG is not Agent Memory.
https://www.letta.com/blog/rag-vs-agent-memory
[21] Richmond Alake. LinkedIn post on #100DaysOfAgentMemory, RAG and MemoRizz.