<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Md-Abid-Hussain on Nextjs Templates &amp; Themes</title><link>https://www.nextjsthemes.dev/author/md-abid-hussain/</link><description>Recent content in Md-Abid-Hussain on Nextjs Templates &amp; Themes</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.nextjsthemes.dev/author/md-abid-hussain/index.xml" rel="self" type="application/rss+xml"/><item><title>Docquery</title><link>https://www.nextjsthemes.dev/theme/md-abid-hussain-docquery/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.nextjsthemes.dev/theme/md-abid-hussain-docquery/</guid><description>&lt;h2 id="overview">Overview&lt;/h2>
&lt;p>DocQuery is an innovative project that integrates both frontend and backend components to create a robust platform for building knowledge bases tailored for Language Learning Models (LLMs). The frontend, developed using Next.js and Tailwind CSS, offers a sleek and user-friendly interface, allowing users to easily manage their documentation in markdown format. On the backend, FastAPI operates with seamless efficiency, making it possible to interact with various agents integrated through the langgraph library.&lt;/p></description></item></channel></rss>