How to Create an AI Assistant: A Devâs Guide
Blog post from Stream
Developers aiming to create sophisticated AI agents can now leverage new components and libraries designed to simplify integration with Stream Chat, enhancing user expectations for polished applications. These newly introduced UI components are available across iOS, Android, React, and React Native platforms, facilitating the development of AI assistants like ChatGPT and others. New NodeJS packages, such as stream-chat-js-ai-sdk and stream-chat-langchain, enable seamless integration with Vercel's AI SDK and LangChain, providing a streamlined interface for advanced AI workflows by supporting multiple large language models (LLMs). Stream Chat offers a real-time layer and conversational memory, while developers can utilize backend examples in NodeJS or Python to manage AI agent lifecycles and external connections. To get started, developers can select their preferred platform and follow detailed instructions for integrating AI features into their applications, with sample projects and documentation provided for each platform, and are encouraged to share their completed projects on social media.