Awesome-LLM-RAG
This repository is a curated collection of academic papers focusing on advanced Retrieval Augmented Generation in large language models. It includes state-of-the-art methods and topics such as RAG instruction tuning, in-context learning, and embeddings. Suitable for researchers and developers seeking resources and updates that advance generative language models. Engage with available workshops, tutorials, and contribute via pull requests to be part of the community.
