# 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/mcs3g2q
KAG 開源了，知識增強掀翻 RAG，性能翻倍**
KAG（Knowledge Augmented Generation）框架早在 9 月份就已經發布，近期終於開源了，它的核心在於提出了：一種 LLM 友好的知識表示方法 知識圖譜與原始文本塊之間的相互索引 邏輯形式引導的混合推理引擎 以及基於語義推理的知識對齊 歸功於在構建更有效的索引、知識對齊和混合解決庫方面的創新，KAG 框架在多跳問答任務中相比於現有的 RAG 方法有 ⌘ Read more