video1.0<iframe src="https://www.loom.com/embed/b4c322552955434a9059c17e22438e30" frameborder="0" width="1720" height="1290" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12901720Loomhttps://www.loom.com12901720https://cdn.loom.com/sessions/thumbnails/b4c322552955434a9059c17e22438e30-f59c0f23395629df.gif179.2307In this video, I'm discussing the need to determine precision and recall for our retrieval system, focusing on whether documents are relevant or irrelevant. I emphasize the importance of having annotated documents to create a golden dataset, which will help us evaluate the effectiveness of our search system. Currently, I can only assess the entire search result, but I want to be able to annotate documents individually and manage metadata for relevance. I also highlight the need for a way to add or remove documents based on false negatives. If anyone has insights on how to streamline this process, I would greatly appreciate your input.