Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
ReactiveSearch is an open-source platform that provides a unified control plane and APIs for building relevant search experiences, combining Elasticsearch/OpenSearch with AI features such as AI-powered answers, personalization, and vector search through composable search pipelines. It includes ready-to-use search UI components for React, Vue, Flutter, and JavaScript, along with pipelines, caching, analytics, and granular access controls for use cases like e-commerce, SaaS, and marketplaces. It offers out-of-the-box connectors to major search and AI engines, Docker/self-hosted deployment, and a low-code approach to building, analyzing, and scaling search experiences.
Sources
blog.reactivesearch.io shapes more of what AI says about ReactiveSearch than any other source, at 19% of its citations.
docs.reactivesearch.io · github.com · reactivesearch.io · awesomegenerativeui.com
The market map
Product Search and Discovery Platforms →Where AI ranks ReactiveSearch
Excerpts where ReactiveSearch appeared in the AI's answer

ReactiveSearch (by Appbase.io) - A mature, dedicated search UI library for React and Vue that explicitly includes native components for RAG and generative answering.

ReactiveSearch is particularly close to what you're describing. It has conventional search components plus an AIAnswer component specifically for RAG-based answers