@nlux/react
nlux React is a library for building conversational AI interfaces, with support for OpenAI, HuggingFace, and more.
nlux React is a library for building conversational AI interfaces, with support for OpenAI, HuggingFace, and more.
The OpenAI adapters for nlux, the javascript library for building conversational AI interfaces.
The LangServe adapters for nlux React, the React JS library for building conversational AI interfaces.
A lightweight and fast markdown parser used by nlux that can be used to parse markdown text streams into DOM.
The nlbridge adapters for nlux React, the React JS library for building conversational AI interfaces.
The nlbridge adapters for nlux, the javascript library for building conversational AI interfaces.
Syntax highlighter for nlux
The OpenAI adapters for nlux React, the React JS library for building conversational AI interfaces.
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
Fast and accurate natural language detection. Detector written in Javascript. Efficient language detector, Nito-ELD, ELD.
The Hugging Face adapters for nlux, the javascript library for building conversational AI interfaces.
The LangChain adapters for nlux, the javascript library for building conversational AI interfaces.
The Hugging Face adapters for nlux React, the React JS library for building conversational AI interfaces.
A quick spin-up HTTTP server for dev and testing using @nlbridge/express
The core library content for @nlbridge
An express middleware to connect to several LLMs
Simple and Performant Language detection library (pure JS and zero dependencies)
Scientifically Validated Speech Vitality Index for Limitless Pendant. Empirically validated metrics from 2,500+ conversation segments with transparent reliability assessment. Peer-reviewed methodology for clinical research applications.
A TypeScript library that parses natural language height and weight measurements with unit conversion support
Neo4j MCP server for integrating Neo4j graph database with Claude Desktop through natural language interactions