The community member is asking if there is anything similar to the invoke function in LangChain, which allows transforming a single input into an output, in the LlamaIndex library. Another community member responds that the original question could be better framed as asking about the use case or what the community member is trying to do. The original community member then clarifies that the goal is to execute two processes in parallel, and that they had an issue with the prompt that has now been resolved.
Hi Team, in langchain we have the following runnable functions, do we have anything similar to this, like runnabel functions in llamaindex - @abstractmethod def invoke(self, input: Input, config: Optional[RunnableConfig] = None) -> Output: """Transform a single input into an output. Override to implement.
Args: input: The input to the Runnable. config: A config to use when invoking the Runnable. The config supports standard keys like 'tags', 'metadata' for tracing purposes, 'max_concurrency' for controlling how much work to do in parallel, and other keys. Please refer to the RunnableConfig for more details.
@logan thanks for asking, i found the root cause, this is to execute two process in parallel , i did not give the right prompt and so i end up seeing this error, updated the prompt that resolves the error that occurred while making a call to LLM
