# I am the Watcher. I am your guide through this vast new twtiverse.
#
# Usage:
# https://watcher.sour.is/api/plain/users View list of users and latest twt date.
# https://watcher.sour.is/api/plain/twt View all twts.
# https://watcher.sour.is/api/plain/mentions?uri=:uri View all mentions for uri.
# https://watcher.sour.is/api/plain/conv/:hash View all twts for a conversation subject.
#
# Options:
# uri Filter to show a specific users twts.
# offset Start index for quey.
# limit Count of items to return (going back in time).
#
# twt range = 1 1
# self = https://watcher.sour.is/conv/ynj5iwq
Embedding、向量模型怎麼選？知識庫準不準還得看它**
概念定義與層級關係Embedding（嵌入模型）指將非結構化數據（如文本、圖像）轉換爲低維稠密向量的技術或過程，其核心目標是捕捉數據語義特徵，例如： 文本 Embedding：將句子映射爲 1536 維向量，使語義相似的句子向量距離更近； 圖像 Embedding：將圖片轉換爲向量，支持跨模態檢索。 向量模型（Vector Model）指直接使用 Embeddi ⌘ Read more