Streaming Map-Filter-Reduce in Go
Classic map-reduce-filter pattern process data step-by-step. For example, a map-filter-collect on an array of numbers would first transform each number, then filter out the one’s that meet a condition, and finally collect the results. However, in real-time applications, we often need data to be processed as it becomes available. Imagine an LLM agent that summarizes paragraphs from search one by one. Instead of waiting for all sections to finish, it can start streaming summaries to the frontend immediately, giving users faster, progressive feedback. ...