# 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/nepgaia
yue-fang-readfog
feeds.twtxt.net
View Thread
Chroma - Ollama 搭建本地 RAG 應用**
本文作者爲 360 奇舞團前端開發工程師本篇文章我們將基於Ollama本地運行大語言模型（LLM），並結合ChormaDB、Langchain來建立一個小型的基於網頁內容進行本地問答的RAG應用。概念介紹----先簡單瞭解下這些術語：LLM (A large language model) 是通過使用海量的文本數據集（書籍、網站等）訓練出來的，具備通用語言理解和生成的能力。雖然它可以推理許多內 ⌘ Read more