Open Internet by MindsNet

Overcoming Limitations in Retrieval-Augmented Generation for Complex Queries

The author describes three significant limitations in their retrieval-augmented generation (RAG) system: the scatter problem, where information is scattered across multiple documents; the negative knowledge problem, where the system fails to indicate a lack of information; and the timeline problem, where the system struggles to provide temporal context. These limitations hinder the system's ability to accurately and reliably answer complex queries.

Computing & Technology, Computer Science, Machine Learning