Oren Kurland

Predicting RAG Performance for Text Completion

2025

We address the challenge of predicting the performance of using retrieval augmented generation (RAG) in large language models (LLMs) for the task of text completion; specifically, we predict the perplexity gain attained by applying RAG. …

Query Expansion Using Word Embeddings

2016

We present a suite of query expansion methods that are based on word embeddings. Using Word2Vec's CBOW embedding approach, applied over the entire corpus on which search is performed, we select terms that are semantically …