
AI visibility report
Meilisearch ranks #2 in Search & Vector Databases AI search.
Outside the top three on 15 of the 25 prompts buyers actually ask.
Elastic is cited on 8 of those losses.
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Start free trial#2 among 11 vendors · still absent from 85.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Research dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Meilisearch is an open-source, developer-focused search and AI retrieval platform founded in Paris, France in 2018. Written in Rust, it delivers sub-50ms search-as-you-type results with built-in typo tolerance, relevancy tuning, and hybrid search that blends full-text and semantic (vector) retrieval. The platform is available as a free self-hosted Community Edition (MIT license), a fully-managed Meilisearch Cloud (starting at $23–$30/month), and an Enterprise tier with advanced features such as sharding and S3 snapshots. With more than 56,000 GitHub stars and SDKs across ten languages, Meilisearch targets developers and product teams seeking a simple, cost-effective alternative to Algolia or Elasticsearch. It increasingly serves RAG and AI retrieval workloads via its vector storage and LangChain integration.
Meilisearch is a unified search and AI retrieval platform offering an open-source search engine API and a managed cloud service. It provides hybrid full-text and semantic search, vector storage, typo tolerance, geosearch, faceted filtering, and multi-tenancy out of the box — with near-zero configuration required to get started.