RAG papers list newest additions

🎊 My RAG papers list has now been updated with the newest additions, including those from April. It contains over 60 papers, with quick summaries and topic tags.

🔉 Over the past year, the release of new LLMs and their increasing application across various fields has also spurred a surge in research on RAG approaches. A ton of advanced methods have been proposed to boost RAG’s efficiency in step with the wider adoption of LLMs.

💡 I have compiled a selection of the most popular papers on RAG starting from April 2023 to the present, categorized as follows:

⛳ RAG Survey

📖 Comprehensive overview of existing methods in RAG.

⛳ RAG Enhancement (Advanced Techniques)

📖 Proposals for improving the efficiency and effectiveness of the RAG pipeline.

⛳ Retrieval Improvement

📖 Techniques focused on enhancing the retrieval component of RAG.

⛳ Comparison Papers

📖 Papers comparing RAG with other methods or approaches.

⛳ Domain-Specific RAG

📖Adaptation of RAG techniques for specific domains or applications.

⛳RAG Evaluation:

📖Assessment of the performance and effectiveness of RAG models.

⛳RAG Embeddings:

📖Methods for developing better embedding techniques optimized for RAG or retrieval in RAG.

⛳Input Processing for RAG:

📖Techniques for preprocessing input data to optimize the performance and effectiveness of RAG models.

Depending on the use-case, you can explore relevant papers to address various challenges and improve RAG. Happy Learning!

Link to the list: https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/research_updates/rag_research_table.md