Meilisearch
One platform to build, scale, and unify search and AI retrieval for your applications.
Overview
Meilisearch is a powerful, open-source search engine designed to provide an instant and relevant search experience. It stands out with its built-in typo tolerance, ensuring users find what they're looking for even with mistakes. The platform offers a straightforward API, making it easy for developers to integrate robust search functionalities into their web and mobile applications without extensive configuration. Beyond its core search capabilities, Meilisearch is evolving to unify search with AI retrieval, aiming to deliver more intelligent and contextually aware results. This focus positions it as a modern solution for businesses looking to offer cutting-edge search experiences, whether through its self-hosted open-source version or its managed cloud service.
Pricing
Build
- 50K searches included
- 100K documents included
- Community (Discord) support
- 7-day search analytics retention
- 30-day monitoring metrics retention
Pro
- 250K searches included
- 1M documents included
- Priority chat and email support
- 30-day search analytics retention
- 30-day monitoring metrics retention
Pros & Cons
Pros
- Exceptional search speed and relevance out-of-the-box
- Built-in typo tolerance reduces user frustration
- Simple and developer-friendly API for quick integration
- Open-source nature allows for transparency and community contributions
- Cloud offering simplifies deployment and scaling
- Focus on unifying search with AI retrieval for advanced use cases
Cons
- May require some technical knowledge for self-hosting and advanced configuration
- Specific advanced features might be behind the cloud offering or require custom development
- Community support might be less extensive than older, more established search engines
- Performance could be impacted by very large datasets if not properly optimized
- Limited information on specific AI retrieval capabilities in the provided content
Use Cases
Reviews & Ratings
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Best For
- E-commerce product search
- Documentation search for websites
- Internal knowledge base search
- Content discovery for blogs and media sites
- Building custom search experiences for web and mobile applications
- Adding AI-powered search to existing platforms
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