# 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/mcro75q
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LLM Agent 和 Agentic RAG 的最佳綜述**
論文鏈接：https://arxiv.org/abs/2501.09136 Github 倉庫：https://github.com/asinghcsu/AgenticRAG-Survey 下面很多鏈接在這個 Github 倉庫，大家通過訪問 Github 倉庫訪問更多資料。摘要------代理式檢索增強生成（Agentic RAG）通過在 RAG 管道中嵌入自主代理，代表了人工智能領域的 ⌘ Read more