ReactiveSearch

Open-source stack for building AI-powered search experiences

Developer Tools AI Search & RAG reactivesearch.io

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Founded

2014

Starting Price

Free

About ReactiveSearch

ReactiveSearch (formerly appbase.io) is an open-source search stack for building relevant, AI-powered search experiences on top of Elasticsearch, OpenSearch, Solr, and MongoDB. It pairs 30+ pre-built UI components for React, Vue, and React Native with composable search pipelines, a no-code UI builder, actionable analytics, and multi-layer access control. Once a commercial cloud service, the entire stack is now free and self-hostable via Docker.

Pros & Cons

Pros

Entire stack is now free and open source (Apache 2.0 libraries) after pivoting from a paid cloud model
Mature UI component library used by 1,000+ projects with 15K+ GitHub stars and 5M+ downloads
No-code relevance tuning lets non-developers adjust search ranking without writing queries
Built-in search analytics (CTR, conversions, abandonment) that most DIY Elasticsearch setups lack
Engine-agnostic: works with Elasticsearch, OpenSearch, Solr, MongoDB, and OpenAI
Strong security model with scoped API keys, RBAC, and field-level filtering

Cons

No managed cloud offering anymore - you must self-host and operate the stack via Docker yourself
Focused solely on search, which can be hard to justify as a separate tool in some stacks
Requires an existing Elasticsearch/OpenSearch cluster (or similar) as the underlying engine
Smaller community and slower feature pace compared to commercial alternatives like Algolia

Key Features

Search UI Components

30+ pre-built components for React, Vue, and React Native covering lists, ranges, search boxes, result displays, AI answers, and charts

Composable Search Pipelines

Author search pipelines in JavaScript to chain query stages, transform requests/responses, and integrate AI backends like OpenAI

Multi-Engine Support

Works with Elasticsearch, OpenSearch, Solr, and MongoDB as the underlying search engine, plus OpenAI for AI-powered answers

NoCode UI Builder

WYSIWYG builder for creating search and recommendation interfaces with code export for further customization

Actionable Analytics

Track searches, click-through rates, conversions, and abandonment to continuously improve relevance using behavioral signals

Relevance Tuning

Point-and-click controls for multi-language search, typo tolerance, facets, synonyms, and scoring signals

Query Rules & Merchandising

Promote or demote items, refine queries, show banners, detect intent, and set view-specific facets

Access Control

Intent-specific API credentials with ACLs, HTTP referer and IP restrictions, rate limits, role-based access, and field-level filtering

Data Import Connectors

Ingest from JSON, CSV, SQL, Elasticsearch, and more via dashboard or CLI with 10+ source connectors

Application Layer Caching

Built-in caching layer to speed up search responses and reduce load on the underlying engine

Pricing

Open Source

Free

Full search stack via Docker Compose
30+ UI components for React, Vue, React Native
Search pipelines and AI search
Analytics and insights
Access control and API credentials
Works with Elasticsearch, OpenSearch, Solr, MongoDB

Best For

E-commerce Product Search

Build faceted product search with merchandising rules, typo tolerance, and conversion analytics to maximize search ROI on storefronts and marketplaces.

AI-Powered Site Search

Incrementally add AI answers to existing site search by composing pipelines that combine Elasticsearch relevance with OpenAI-powered responses.

SaaS In-App Search

Ship search and discovery interfaces inside web and mobile apps quickly using the pre-built React, Vue, and React Native component library.

Secure Multi-Tenant Search

Expose search to end users safely with scoped API credentials, role-based access, and field-level filtering instead of proxying every query through your backend.

Tags:search open-source elasticsearch opensearch react ai-search self-hosted ui-components