Frontend Tools
Integrate Markprompt AI chatbot prompt
Enable Markprompt AI-powered prompt with Algolia DocSearch
I search through your content to help you find answers to your questions, fast.
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The KPS Composable Booster is designed to be agnostic to support the most flexible and stable way to a MACH architecture. Nevertheless, KPS is offering some pre-built components to support a fast transition :
Whether B2B, B2C or Marketplace - the KPS Booster gives you a quick start on your channels with the highest Google Lighthouse scores of 100% for performance, accessibility, best practices and SEO.
Websites load at top speed with a lightning-fast frontend by KPS based on React and NextJS and a backend-for-frontend layer. Good for the customer experience - and your sales.
Readymade architecture and technical foundation, enabling your project to start immediately. It is fully executable and covers :
Powerful and replaceable components for Commerce, Content Management, Search and Personalization
Designed to support your way including migration from any existing solution to Commercetools.
Individually developed microservice for product availability
High technical maturity with fully integrated cloud solutions
Reduces project duration by shortened enablement of developers and reusable technical setup
Frontend Tools
Enable Markprompt AI-powered prompt with Algolia DocSearch
Backend Tools
This package lets you easily integrate Algolia to your Elixir application. It can be used with built in Elixir struct or with Ecto schemas.
Backend Tools
Use the Ruby API client to index your data, configure your search, perform search queries, work with analytics, manage clusters, and much more