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Launched 2018 · Verified Oct 15, 2026

Meilisearch

Verified Oct 15, 2026 Active
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Open-source search engine with vector storage and hybrid keyword-plus-semantic retrieval, self-hosted or run as a cloud service

search enginehybrid searchvector searchragopen sourceFreemium · from $20/mo

Listed on EffectHub ·

Web · API · Linux
Screenshot of the Meilisearch website
#378
meilisearch.com as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Freemium
Paid options from
$20/mo
Billing
Monthly

The engine is open source under the MIT licence and free to self-host. Meilisearch Cloud starts at $20/month, usage- or resource-based, with a 14-day trial and no card required; the cost estimator quoted $30/month for 100K documents and 50K searches and $23/month for an XS instance. Enterprise, with up to 99.999% uptime SLA, SSO SAML and SOC 2, is quoted.

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Overview

About Meilisearch

Meilisearch is a search engine developed by Meili, a French company registered in Paris. The engine is open source and can be self-hosted; Meilisearch Cloud is the managed version of the same thing. Beyond typo-tolerant keyword search it stores embeddings and runs hybrid retrieval that blends lexical and semantic matching, which is what the RAG positioning rests on: it acts as the retrieval layer feeding an LLM, with context formatting and connectors for LangChain and LlamaIndex. The vendor cites sub-50ms queries across millions of documents. Cloud billing is usage or resource based and enterprise plans add SLAs, SSO and SOC 2.

Platforms
Web · API · Linux
API
Yes
Last verified
Oct 15, 2026

Verified sources

  • Pricing page: Cloud starting at $20/month with a 14-day free trial, no credit card; estimator shows $30/month usage-based base plan and $23/month XS instance; Enterprise custom with SLA, SSO SAML, SOC 2 (15 October 2026)meilisearch.com ↗
  • Pricing FAQ: Meilisearch is open source under the MIT license and can be self-hosted with no usage limits (15 October 2026)meilisearch.com ↗
Fact check

Is Meilisearch legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Sep 19, 2018 (8 years ago)Registry record (RDAP), registrar OVH sas, looked up Sep 6, 2026
TLS certificate
Issued by Google Trust Services, valid until Jan 13, 2027Seen in our own connection to the site on Oct 15, 2026
Last checked
Oct 15, 2026The site answered
On the market since
2018The vendor's own material, read by us
Operated by
Meili, FranceOur research, card verified Oct 15, 2026

How we collect these records

Editorial verdict

Pros & cons of Meilisearch

high confidence

Meilisearch is the pragmatic middle between bolting pgvector onto Postgres and running an Elasticsearch cluster: hybrid retrieval works out of the box and the open-source licence means the cloud bill is a convenience, not a lock-in. The limit is scope — it is a retrieval layer, not a full RAG framework, and there is no permanently free cloud tier.

Pros

  • Open source engine you can self-host, so the managed service is optional
  • Hybrid retrieval blends lexical and vector search in a single query
  • Documented integrations with LangChain and LlamaIndex
  • Cloud entry at $20/month with usage- or resource-based billing and a card-free 14-day trial

Cons

  • No permanently free cloud tier — the free option is self-hosting and running it yourself
  • Retrieval only; chunking, prompt assembly and generation stay your problem
  • SLAs, SSO SAML and SOC 2 sit behind quoted enterprise plans

Best for

  • Teams that want keyword and semantic retrieval from one index instead of two systems
  • Products needing typo-tolerant instant search with an escape hatch to self-hosting
  • Engineers wiring a retrieval layer under LangChain or LlamaIndex

Not for

  • Teams wanting a managed end-to-end RAG pipeline with chunking and generation included
  • Projects that need a free hosted tier rather than a 14-day trial

Watch out: The legal terms name Meili SAS in Paris, so cloud contracts are French-law agreements — worth checking against your data-residency requirements.

#2inVector Databases & RAG· of 10 tools, ranked by rating and popularity

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