Scaling DPPs for RAG: Density Meets Diversity

1. 1Understand the limitations of standard RAG pipelines in ignoring interactions among retrieved candidates
2. 2Apply Determinantal Point Processes (DPPs) to model the interactions among candidates and improve relevance ranking
3. 3Scale DPPs to handle large corpora and improve the efficiency of the RAG pipeline
4. 4Evaluate the performance of the scaled DPP approach using metrics such as relevance, diversity, and accuracy

NLP engineers and researchers working on large language models (LLMs) can benefit from this approach to improve the accuracy and diversity of generated responses

💡 Considering interactions among retrieved candidates can significantly improve the relevance and diversity of generated responses

💡 Improve RAG with scaled DPPs for more accurate & diverse responses