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@nlux/core
Advanced tools
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
NLUX
(for Natural Language User Experience) is an open-source JavaScript library that makes it super simple to
integrate powerful large language models (LLMs) like ChatGPT into your web app or website. With just a few lines
of code, you can add conversational AI capabilities and interact with your favourite LLM.
ChatGPT
/ LangChain
🦜 LangServe / HuggingFace
🤗 Inference.This package @nlux/core
is the vanilla JS version of the library.
If you're looking for the React JS version, please check
the @nlux/react
package.
NLUX JS
🚀The example below demonstrates how to create an AI chat interface using NLUX JS
and LangChain, the open source
framework for building LLM backends. But you can use NLUX
with any LLM ― either
via the standard adapters provided, or
by creating your own adapter.
To get started with NLUX JS
and LangChain
, install the @nlux/core
and @nlux/langchain
packages:
npm install @nlux/core @nlux/langchain
Configure the LangChain LangServe adapter to connect to your API endpoint:
import {createAiChat} from '@nlux/core';
import {createChatAdapter} from '@nlux/langchain';
const langChainAdapter = createChatAdapter().withUrl('https://<Your LangServe Runnable URL>');
Then render the AiChat
component into your web page:
const aiChat = createAiChat()
.withAdapter(langChainAdapter)
.withConversationOptions({
historyPayloadSize: 'max'
})
.withComposerOptions({
placeholder: 'How can I help you today?'
})
aiChat.mount(document.getElementById('root'));
You should also include the NLUX theme CSS file in your HTML page.
An AI chatbot, powered by LangChain, that can understand and respond to user messages:
You should include a theme CSS file into your HTML page.
You can download and host the Luna Theme
CSS file
from @nlux/themes
package.
FAQs
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
We found that @nlux/core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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