<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LangChain on Ted Factory</title><link>https://tedfactory.com/en/tags/langchain/</link><description>Recent content in LangChain on Ted Factory</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 02 Mar 2026 15:55:29 +0900</lastBuildDate><atom:link href="https://tedfactory.com/en/tags/langchain/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Services and Tools (3): Hugging Face / LangChain / Cursor</title><link>https://tedfactory.com/en/books/ai-for-startup/ai-services-and-tools-3/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0900</pubDate><guid>https://tedfactory.com/en/books/ai-for-startup/ai-services-and-tools-3/</guid><description>&lt;h1 id="ai-services-and-tools-3"&gt;AI Services and Tools (3)&lt;a class="anchor" href="#ai-services-and-tools-3"&gt;#&lt;/a&gt;&lt;/h1&gt;
&lt;p&gt;In the previous chapters, we looked at major AI services and APIs. In this chapter, we’ll cover tools that are closer to the “ecosystem”: an open-model platform (Hugging Face), an LLM app framework (LangChain), image / video / music generation tools, developer-focused AI coding tools (Copilot / Cursor), and the trend of integrating AI directly into browsers (AI browsers).&lt;/p&gt;
&lt;hr&gt;
&lt;h2 id="hugging-face"&gt;Hugging Face&lt;a class="anchor" href="#hugging-face"&gt;#&lt;/a&gt;&lt;/h2&gt;
&lt;p&gt;In the public model ecosystem, there are many options that go beyond what people typically call “open source,” including &lt;strong&gt;open-weight models&lt;/strong&gt; whose weights are publicly available. &lt;a href="https://huggingface.co/" target="_blank" rel="noopener noreferrer"&gt;Hugging Face&lt;/a&gt; is one of the most representative platform-and-community hubs for sharing AI models and datasets. You can discover and download models / data, re-share fine-tuned models, and even try models or host demos in the browser, which makes it easier to compare and choose. It also provides features to help users deploy and serve models on clouds (AWS, Google Cloud, Azure, etc.), often via integrations / partnerships.&lt;/p&gt;</description></item></channel></rss>