@nlux/openai-react
The OpenAI adapters for nlux React, the React JS library for building conversational AI interfaces.
The OpenAI 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.
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 LangServe adapters for nlux React, the React JS library for building conversational AI interfaces.
The OpenAI adapters for nlux, the javascript library for building conversational AI interfaces.
The Hugging Face 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.
The LangChain adapters for nlux, the javascript library for building conversational AI interfaces.
Syntax highlighter for nlux
nlux is JavaScript and React library for building conversational AI interfaces, with support for OpenAI, Hugging Face, and more.
The core library content for @nlbridge
An express middleware to connect to several LLMs
A quick spin-up HTTTP server for dev and testing using @nlbridge/express
A unified plugin to prepare MDAST trees for DOCX conversion using mdast2docx.
Extend MDAST by parsing embedded HTML in Markdown. Converts HTML into structured MDAST nodes compatible with @m2d/core for DOCX generation.
MDAST to DOCX plugin for resolving and embedding images. Supports base64, URLs, and custom resolvers for seamless DOCX image integration.
Plugin to convert Markdown tables (MDAST) to DOCX with support for rich formatting and seamless integration into mdast2docx.
A plugin for @m2d/core that parses emoji shortcodes like :smile: and replaces them with their corresponding Unicode emoji characters for DOCX output.
Core engine to convert extended MDAST to DOCX. Supports plugins for footnotes, images, lists, tables, and more. Designed for seamless Markdown-to-DOCX conversion.