Re-ranking is integral to retrieval pipelines, but implementation methods vary. We introduce rerankers, a Python library offering a unified interface for common re-ranking approaches.
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The article discusses the integration of Large Language Models (LLMs) and search engines, exploring two themes: Search4LLM, which focuses on enhancing LLMs using search engines, and LLM4Search, which looks at improving search engines with LLMs.
