Top 5 Tools for Building AI-Powered React Applications

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Top 5 Tools for Building AI-Powered React Applications

#react#ai
Suraj Vishwakarma

Suraj Vishwakarma

Updated on 31 Jul, 2025


TL;DR

AI is booming everywhere, as you can see. So the need for building AI-powered apps has grown in demand. React, being the first choice for building frontend today, needs AI integration to match the AI trends in software development.

As React developers are seeking practical tools and patterns to build AI-powered features. In this article, I am going to list some of the helpful tools that can be used to build AI-powered React Applications.

So, let’s get started.

Vercel AI SDK

From the creators of Next.js, the AI SDK is a free open-source library that gives you the tools you need to build AI-powered products.

Vercel AI SDK

Vercel has been in the talk since the launch of NextJS, which makes frontend development with React easy. They also provide an SDK that can be used to build an AI application since it is the same company that built Nextjs. thus making integration with NextJS and Vercel SDK seamless.

It is quite capable of building streaming chat and text generation UIs in React. Its simple, hook-based API makes it easy to handle streaming responses from models like GPT and Claude, creating the "live typing" effect seen in modern chatbots.

Some features of the Vercel AI SDK:


LangChainJS

LangChain is a framework for developing applications powered by large language models (LLMs).

LangChainJS

Langchain provides lots of tools that you can use to build any AI-powered application with any generative model. It can be used to build more complex AI applications as it provides creation of embedding, storing, and retrieving. This can be used to provide information based on a particular document or source.

Last year, I wrote an article using Lanchain to create your own ChatGPT to answer based on your document. You can read here, How to Build Your Own ChatGPT with Langchain, Supabase, and Node.js.

Some features of LangchainJS:


Hugging Face JS Libraries

The platform where the machine learning community collaborates on models, datasets, and applications.

Hugging Face JS Libraries

While Vercel SDK and Langchain work on the LLM Providers, Hugging Face JS libraries have an open-source AI community and a vast repository for models. This library can be used to build both server-side and client-side architectural patterns.

Here are some of the libraries:


Assistant-UI

Assistant-UI

The library handles essential chat features such as auto-scrolling, accessibility, and real-time updates, while providing easy integration with LangGraph, AI SDK, and custom backends.

While the above libraries are primarily for core logic and handling calls to models, Assistant UI is made for building front-end user experience. It has tools that can help you build an interface to rival ChatGPT, Claude, or any other generative platform.

Here are some of the key features:


Replicate

Run and fine-tune models. Deploy custom models at scale. All with one line of code.

Replicate

Replicate is a cloud platform that lets you run a variety of open-source ML models with a simple API call. It is best for adding features like image generation, audio transcription, video enhancement, or music creation in your React application.

Some features of Replicate:

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Conclusion

As we've seen, the React ecosystem is rapidly evolving to meet the demands of the AI revolution. Integrating powerful AI features into your applications has never been more accessible.

Whether you're building a sleek, streaming chat interface with the Vercel AI SDK and Assistant-UI, orchestrating complex backend logic with LangChainJS, or tapping into a vast universe of multi-modal models through Hugging Face and Replicate, the tools are ready and waiting.

I hope you will use one of these tools to build your next AI application. Thanks for reading the article. Happy coding!


Build by Suraj Vishwakarma.