Tutorials: Chat

Django is approaching its twentieth anniversary. Built for the Web 1.0 era, this Python framework might seem out of place in today’s JavaScript-centric world. But (almost) anything JS can do, Django can do—and much more. You can see the power of Django in the people who continue to use it–Instagram, Mozilla, Pinterest, Disqus—all of which

Multi-agent services help solve complex problems and get things done across various domains. You can develop AI agents to send emails, search for publications, perform mathematical calculations, or read and write CSV files. Agents are AI-assisted systems powered by large language models (LLMs) that can complete tasks people encounter in their digital lives daily. A

If one topic has been dominating the news lately, it has been AI. Today, we're diving into an exciting project combining the power AI brings with a modern web app. We will build an AI chat app using Next.js, leveraging Stream’s React Chat SDK and incorporating a sleek UI design inspired by a Dribbble concept⁠

Redis is one of those remarkable tools that seem able to do everything. Need a lightning-fast in-memory cache? Redis. Need a straightforward database ideal for key-value pairs? Redis. Need a message broker for building out a publish/subscribe chat system? There’s Redis again. And that is how we’re going to use it today. Redis gives us

Svelte doesn’t get anything like the kind of love that React receives, but that doesn’t mean developers should sleep on it. Last week saw the release of Svelte 5, and while this update has React-ified Svelte a little with the introduction of runes such as $state() and $effect(), there is still enough elegance and power

In the digital age, chat messaging has become an integral part of daily communication. From personal conversations to customer support interactions, these text-based exchanges contain a wealth of information about users' emotions, opinions, and experiences. Enter sentiment analysis—a powerful tool that can unlock the emotional content hidden within these messages. Sentiment analysis uses natural language

Setting up a new project can be tedious and repetitive from multiple angles. As end-users, we are learning a new platform, new paradigms, and maybe a new framework to build our next dream project. As a company, we want to get our potential users up and running as quickly as possible and make it easy

Traditional speech language models like Siri or Alexa use turn-taking as the primary interaction style. Although these systems can detect single human voices, they cannot be interrupted in real time. Let's discover an advanced AI speech dialogue system that integrates listening and speaking capabilities to engage in conversations in real time, allowing seamless to-and-fro communication