Markprompt is a platform for building GPT-powered prompts. It takes Markdown, Markdoc, MDX, reStructuredText, HTML and plain text files (from a GitHub repo, website or file uploads), and creates embeddings that you can use to create a prompt, for instance using the companion headless Markprompt React components or our prebuilt dialog. Markprompt also offers analytics, so you can gain insights on how visitors interact with your docs.
This repo contains various UI libraries for building prompts based on the Markprompt API:
@markprompt/core— shared utility functions to speak with the Markprompt API.@markprompt/react— a React component.@markprompt/web— a pre-built Markprompt component, based on@markprompt/react, built with Preact for bundle-size savings. Viable for use with vanilla JavaScript or any framework.@markprompt/docusaurus-theme-search— a Markprompt search theme for Docusaurus.
and some example implementations:
with-css-modules— a web application based on@markprompt/react, Vite and CSS Modules.with-custom-trigger— a reference implementation of@markprompt/webusing a custom trigger button.with-custom-trigger-react— a reference implementation of@markprompt/reactusing a custom trigger button.with-docusaurus— a Docusaurus project with@markprompt/docusaurus-theme-search.with-docusaurus-algolia— a Docusaurus project with@markprompt/docusaurus-theme-searchand our Algolia integration.with-docusaurus-swizzled— a Docusaurus project with Markprompt and theme-search-algolia.with-init— a web application based on@markprompt/webusing a global instance of Markprompt.with-markprompt-web— a web application based on@markprompt/weband Vite. based on@markprompt/react, Vite and CSS Modules.with-next— a web application based on@markprompt/react,@markprompt/web, and Next.js.with-function-calling— a web application based on@markprompt/reactand Next.js showcasing the use for OpenAI function calling.
To use the Markprompt platform as is, please refer to the Markprompt documentation.
This library is created by the team behind Markprompt (@markprompt).
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