# 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/kk4jwya
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12 張圖清晰總結 MCP、RAG、Agent 架構設計間的關係**
MCP、RAG、Agent  這些概念最近熱度飆升，成了 AI 領域的熱門話題。然而，我發現身邊不少朋友對這些概念還是一知半解。爲了幫助大家更好地理解，精心繪製了 12 張簡單易懂的架構圖解。這些架構圖解涵蓋了從 MCP 的提示混合機制，到 RAG 的知識檢索增強，再到 Agent 的自主決策框架等多個方面。\_—1\_—\*MCP、RAG、Agent 概念與關係第一、核心概念1、RAG（檢索增強生成） ⌘ Read more