LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding
A model-agnostic doc-level embedding framework that leverages large language models (LLMs) to enrich the contextual information in document embeddings, significantly improving the effectiveness of widely-used retriever models.