Meilisearch
An open-source and cloud-managed search engine supporting fast hybrid and semantic search.
What is Meilisearch?
Meilisearch is an open-source, developer-friendly search engine designed to help builders understand how does full text search work in practice. Frequently searched under variations like milisearch, melisearch, or meili search, this engine offers rapid search-as-you-type experiences. It represents a highly competitive choice when evaluating meilisearch vs typesense or other alternative engines. The solution supports modern search requirements, including storing vector embeddings for different types of rag (Retrieval-Augmented Generation) architectures, and offers self-hosting via meilisearch docker or a managed platform in meilisearch cloud.
Category
Best Meilisearch use cases by task, role, industry, and platform
These use cases show where Meilisearch fits best, ranked by fit score before popularity or pricing.
Meilisearch Pricing Plans
Compare Meilisearch free options, Meilisearch paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Cloud plans from $30/mo
Self-hosted engine with manual service monitoring, scaling, updates, and community-driven Discord support.
Managed cloud instance. Includes 50K searches, 100K documents, 7-day search analytics retention, and Discord support. Additional searches cost $0.40/1k and additional documents cost $0.30/1k.
Managed cloud instance for scaling teams. Includes 250K searches, 1M documents, 30-day analytics retention, and priority chat/email support. Additional searches cost $0.30/1k and additional documents cost $0.20/1k.
Tailored cloud infrastructure with volume discounts, resource-based pricing, premier support channels, custom SLA, and SOC2 compliance.
Pricing updated:Jun 11, 2026
Meilisearch AI Features
Meilisearch Pros and Cons
Pros
- Excellent developer experience with straightforward API design and diverse SDKs
- Flexible deployment through self-hosted open source or managed cloud hosting
- Robust relevancy defaults requiring minimal configuration to get started
Limitations
- Operational management (updates, scaling, and backups) must be handled manually on the open-source version
- Usage-based pricing charges apply once plan limits for searches or documents are exceeded