LLMRerank
without going through a retrieval step? The tutorials all have the process of building a vector index and doing a retrieval step prior to reranking - I'm hoping to avoid that and go directly to rerankingfrom llama_index.core.schema import NodeWithScore, QueryBundle query_bundle = QueryBundle("query") nodes = [NodeWithScore(node=node, score=1.0) for node in existing_nodes] reranked_nodes = reranker.postprocess_nodes(nodes, query_bundle=query_bundle)