# 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/s6utfda
全新知識導向的 RAG 全棧技術綜述**
近期,中科大出品了一篇關於知識導向檢索增強型生成(Retrieval-Augmented Generation, RAG)的綜述,全面介紹了 RAG 的基本原理、關鍵組件、特性、挑戰以及在不同領域的應用,並探討了未來發展的 7 種 RAG 技術形態。RAG 研究組織框架。時間線從 2020 年延續至當下,將 RAG 相關研究分爲三大領域:基礎(包括 RAG 學習和 RAG 框架)、高級以及評估。時 ⌘ Read more