{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6dcf5f85930d44a6ad98b2c516769d3f\" frameborder=\"0\" width=\"1672\" height=\"1254\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1254,"width":1672,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1254,"thumbnail_width":1672,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6dcf5f85930d44a6ad98b2c516769d3f-00001.gif","duration":166.26666666666662,"title":"LlamaIndex.TS: Getting Started","description":"Welcome to LamaIndex.ts, where you can leverage large language models to analyze your data and get insightful responses. In this video, I'll guide you through the process of using LamaIndex.ts with TypeScript, although regular JavaScript works too. We'll start by importing the necessary files, including an essay by Dan Abramoff and some recent tweets. Then, we'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'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."}