# 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/qb5lphq
RAG 架構圖解：從基礎到高級的 7 種模式**
「RAG 技術通過在 AI 生成過程中引入外部知識檢索，從基礎的文檔查詢發展到多模態、Multi-Agent 體協同的智能架構，讓 AI 回答更準確、更全面」「核心組件」嵌入模型： 將文本轉換爲向量表示 生成模型： 負責最終的內容生成 重排序模型： 優化檢索結果的相關性 向量數據庫： 存儲和檢索向量化的內容 提示模板： 規範化的查詢處理模板 AI ⌘ Read more