Provides an open-source search engine API that combines full-text and semantic search capabilities to deliver highly relevant results across websites and applications. It enables developers to implement lightning-fast, AI-powered search with features like geosearch, faceting, and vector storage, improving user experience and data retrieval efficiency.
Funding
$21.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Implementing effective search functionality in applications and websites can be complex and resource-intensive, often requiring significant configuration and expertise. Existing search solutions may lack the flexibility to adapt to specific use cases, resulting in poor user experiences and hindering data retrieval efficiency.
Solution
Meilisearch provides a user-focused search engine solution that offers both full-text and semantic search capabilities through a RESTful API. The platform is designed for ease of integration, allowing developers to implement search functionality into applications and websites with minimal configuration. Meilisearch combines speed and relevance, delivering search-as-you-type results in under 50 milliseconds, enhanced by AI-powered hybrid search. The solution offers a range of features, including geosearch, faceting, and vector storage, to improve search relevancy and enable the development of complex search interfaces.
Target Audience
Meilisearch targets developers and organizations seeking a flexible, performant, and easy-to-integrate search solution for their applications and websites, including e-commerce, media, and enterprise applications.
Features
- Hybrid search that blends full-text and semantic search for improved result relevancy
- Multi-modal search capabilities that include images, videos, and audio
- Filtering, faceting, and sorting tools for building complex search interfaces
- Geosearch functionality for location-specific results
- Vector storage and retrieval for advanced similarity queries and RAG applications
- Federated search across multiple data sources
- Search analytics for actionable insights and data-driven decisions
- Pre-built SDKs and integrations for JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart, Rust, Swift, React, Vue, Angular, and Rails
- RESTful API for integration into various applications and websites