Meilisearch
by Meilisearch · Open-source search engine with full-text, semantic and hybrid retrieval
BenchRank score
Screenshots of Meilisearch
Homepage
Overview
Meilisearch is a search engine that indexes documents through an API and returns results as you type. It covers full-text, semantic, hybrid and multimodal search, with filtering, faceting, sorting, geosearch, federated search and vector storage for RAG. It is open source and can be self-hosted, or run on Meilisearch Cloud as managed infrastructure.
- Best for
- Development teams adding full-text, semantic or hybrid search to an app, self-hosted or managed
- Pricing
- Self-hosting is free; Meilisearch Cloud starts at $20/month after a 14-day trial, and Enterprise is priced on request.
- Runs on
- Self-hosted
Strengths and trade-offs
Strengths
- Open source; self-hosting is free with full infrastructure control
- Full-text, semantic, hybrid and multimodal search in one engine
- SDKs for 10+ languages plus React, Vue, Angular and Rails
- SOC 2 Type II certified, GDPR listed
Trade-offs
- Personalisation, analytics and SSO SAML are Enterprise-only, priced on request
- Self-hosting is free but you manage updates, backups and scaling yourself
- No free Cloud tier beyond a 14-day trial
- Cloud cost varies with document count, searches and instance size
How Meilisearch markets itself
A structured read of the promise, proof and page design on Meilisearch’s captured homepage.
Homepage capture
“One platform to build, scale, and unify search and AI retrieval”
- Angle: All-in-one / consolidation
- Hero: Interactive demo
Pricing
Published plans and prices from Meilisearch’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Meilisearch pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
Claim Meilisearch to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.