Hello !

    def process_retriever_component_fn(self, user_query: str):
        """Transform the output of the sentence_retriver"""

        logger.info("Sentence Retriever Output processing...")
        sentence_retriever = self.index.as_retriever(similarity_top_k=5)

        nodes = sentence_retriever.retrieve(user_query)

        with open("first_nodes.txt", mode="w") as f:
            for node in nodes:
                f.write(str(node) + "\n")
        # Create a QueryBundle from the user query
        query_bundle = QueryBundle(query_str=user_query)

        logger.info("Relevant Node Retrieved...")
        logger.info("Starting the reranking process...")
        postprocessor = LLMRerank(top_n=3, llm=self.llm, choice_batch_size=1)
        reranked_nodes = postprocessor.postprocess_nodes(
            nodes=nodes, query_bundle=query_bundle
        )
        contexts = ""
        with open("second_nodes.txt", mode="w") as f:
            for reranked_node in reranked_nodes:
                f.write(str(reranked_node) + "\n")
                contexts += str(reranked_node) + "\n"
        return contexts

File "/usr/local/lib/python3.8/dist-packages/llama_index/core/postprocessor/types.py", line 56, in postprocess_nodes
return self._postprocess_nodes(nodes, query_bundle)
File "/usr/local/lib/python3.8/dist-packages/llama_index/core/instrumentation/dispatcher.py", line 230, in wrapper
result = func(*args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/llama_index/core/postprocessor/llm_rerank.py", line 99, in _postprocess_nodes
raw_choices, relevances = self._parse_choice_select_answer_fn(
File "/usr/local/lib/python3.8/dist-packages/llama_index/core/indices/utils.py", line 104, in default_parse_choice_select_answer_fn
answer_num = int(line_tokens[0].split(":")[1].strip())
IndexError: list index out of range