Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks¶
Authors: Lewis et al. Year: 2020 ArXiv/Link: https://arxiv.org/abs/2005.11401
Summary¶
Combines neural retrieval with generation, enabling models to access external knowledge dynamically for improved performance.
Key Concepts¶
- Retrieval-augmented generation
- External knowledge
- Dense retrieval
- Generator model
- Knowledge integration
Impact¶
Fundamental framework for knowledge-grounded generation
Category¶
Retrieval-Augmented Generation (RAG)