This Markdown is dedicated to curating high-quality papers, resources, and tools related to RAG in the context of Large Language Models (LLM). RAG bridges the gap between retrieval-based and generation-based methods, offering a promising approach for knowledge-intensive tasks.
| Name | Paper Link |
|---|---|
| When Large Language Models Meet Vector Databases: A Survey | paper |
| Retrieval-Augmented Generation for Large Language Models: A Survey | paper |
| Learning to Filter Context for Retrieval-Augmented Generation | paper |
| In-Context Retrieval-Augmented Language Models | paper |