<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/6dcf5f85930d44a6ad98b2c516769d3f&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/6dcf5f85930d44a6ad98b2c516769d3f-00001.gif</thumbnail_url><duration>166.26666666666662</duration><title>LlamaIndex.TS: Getting Started</title><description>Welcome to LamaIndex.ts, where you can leverage large language models to analyze your data and get insightful responses. In this video, I&apos;ll guide you through the process of using LamaIndex.ts with TypeScript, although regular JavaScript works too. We&apos;ll start by importing the necessary files, including an essay by Dan Abramoff and some recent tweets. Then, we&apos;ll explore the concept of a vector store index and a query engine, which together enable us to interact with the language model. Finally, I&apos;ll demonstrate how to run a simple query and receive a response. Stick around for a chance to win a surprise! If you have any questions, feel free to reach out to us on Discord.</description></oembed>