This AI Paper from Vectara Evaluates Semantic and Fixed-Size Chunking: Efficiency and Performance in Retrieval-Augmented Generation Systems
Retrieval-augmented generation (RAG) systems are essential in enhancing language model performance by integrating external knowledge sources into their workflows. These systems utilize methods that divide documents into smaller, manageable sections…