Solving the out-of-context chunk problem for RAG

Research by D-STAR AI presents a novel solution to the out-of-context chunk problem in Retrieval-Augmented Generation (RAG) systems. The study introduces improvements in contextual understanding and data retrieval for a more coherent and contextually accurate generation of text.

• D-STAR AI focuses on AI research.
• RAG systems enhance text generation.
• Contextual issues impact output quality.
• The study proposed a new method.
• Improvements include better context handling.