# 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/uq3ptvq
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3-4K Stars！爲 RAG 而生的數據工程神器！OmniParse**
大模型 RAG 的難題是什麼？  RAG 或者 Fine-tuning 微調作爲大模型的增強技術，最核心的技術在於如何把企業的私有數據清洗轉換成知識，企業中能夠第一時間拿到的私有數據，往往是異構的、數據質量參差不齊，通過數據工程把數據變成知識就不是一件很容易的事兒。OmniParse 正是爲此而生的利器！它將任何非結構化數據轉換爲結構化知識。Github 地址：https://github.com ⌘ Read more