# Retrieval-Augmented Generation: Research Digest

> Retrieval-augmented generation (RAG) has matured from a simple “retrieve-then-generate” architecture into a broader design space spanning active retrieval, evaluation, best…

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- **Updated:** 2026-06-15
- **Category:** scholar
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## Key data

- **Papers:** 10
- **Field:** retrieval augmented generation
- **Updated:** 2026-06-15

Retrieval-augmented generation (RAG) has matured from a simple “retrieve-then-generate” architecture into a broader design space spanning **active retrieval**, **evaluation**, **best practices**, and **domain-specific adaptations**. Across the papers listed here, the central idea remains consistent: grounding generation in external evidence improves factuality and adaptability without fully retraining the model.

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## Sources

1. [Retrieval-augmented generation for knowledge-intensive nlp tasks](https://proceedings.neurips.cc/paper/2020/hash/6b493230205f780e1bc26945df7481e5-Abstract.html)
2. [Active retrieval augmented generation](https://aclanthology.org/2023.emnlp-main.495/)
3. [Retrieval-augmented generation for large language models: A survey](https://simg.baai.ac.cn/paperfile/25a43194-c74c-4cd3-b60f-0a1f27f8b8af.pdf)
4. [Evaluating retrieval quality in retrieval-augmented generation](https://dl.acm.org/doi/abs/10.1145/3626772.3657957)
5. [Evaluation of retrieval-augmented generation: A survey](https://link.springer.com/chapter/10.1007/978-981-96-1024-2_8)
6. [Searching for best practices in retrieval-augmented generation](https://aclanthology.org/2024.emnlp-main.981/)
7. [Retrieval augmented generation and understanding in vision: A survey and new outlook](https://arxiv.org/abs/2503.18016)
8. [Retrieval-augmented generation for ai-generated content: A survey](https://link.springer.com/article/10.1007/s41019-025-00335-5)

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