meilisearch
App Featured
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
- Downloads
- 5,660
- Dependents
- Not applicable
- Stars
- 59,815
- Forks
- 2,783
- Contributors
- 231
- Commits
- 14,896
- Latest release
About
Website | Roadmap | Meilisearch Cloud | Blog | Documentation | FAQ | Discord
โก A lightning-fast search engine that fits effortlessly into your apps, websites, and workflow ๐
Meilisearch is a search engine for fast, relevant full-text, semantic, and hybrid search. The easiest way to get started and run it in production is Meilisearch Cloud: create a project and run your first search in minutes, with no servers to deploy, upgrade, or maintain. The engine is open source under the MIT license, so you can also self-host it.
โ๏ธ Ways to run Meilisearch
| What you get | Get started | |
|---|---|---|
| Meilisearch Cloud (recommended) | Managed Meilisearch: no servers to deploy or upgrade, plus monitoring, search analytics, and team management. Available in 9 regions across Europe, the Americas, and Asia-Pacific. 14-day trial. | Create a project |
| Self-hosted, Community Edition | The open-source engine under the MIT license, on your own infrastructure. | Quick start |
| Self-hosted, Enterprise Edition | Adds sharding and other advanced features. Requires a commercial agreement for production use. | Editions & licensing |
Read the full README
Both options run the same engine and expose the same API, so you can start on one and move to the other. See migrating to Meilisearch Cloud.
๐ Quick start
1. Get a Meilisearch instance
Option A: Meilisearch Cloud (recommended). No install. Start a 14-day trial, then create a project and pick a region. Your project URL and API keys are on the project settings page.
Option B: Self-host. Run the open-source engine locally with Docker:
docker run -it --rm \
-p 7700:7700 \
-v $(pwd)/meili_data:/meili_data \
getmeili/meilisearch:latest
Prefer a binary? Run:
curl -L https://install.meilisearch.com | sh
./meilisearch
More options: install Meilisearch locally.
2. Add documents
curl -X POST "https://ms-url-example.meilisearch.io/indexes/movies/documents" \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer apiKey" \
--data-binary '[
{ "id": 1, "title": "Carol", "genres": ["Romance", "Drama"] },
{ "id": 2, "title": "Wonder Woman", "genres": ["Action", "Adventure"] },
{ "id": 3, "title": "Life of Pi", "genres": ["Adventure", "Drama"] }
]'
3. Search, typo included
curl -X POST "https://ms-url-example.meilisearch.io/indexes/movies/search" \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer apiKey" \
--data-binary '{ "q": "wondre woman" }'
Meilisearch returns Wonder Woman despite the typo. Indexing is asynchronous, so if the search comes back empty, wait a moment and retry.
Next steps: follow a 5-minute quick start for JavaScript, Python, PHP, Ruby, Go, Rust, or React, or follow the Cloud getting started guide.
โจ Features
- Hybrid search: Combine the best of both semantic & full-text search to get the most relevant results
- Search-as-you-type: Find & display results in less than 50 milliseconds to provide an intuitive experience
- Typo tolerance: get relevant matches even when queries contain typos and misspellings
- Filtering and faceted search: enhance your users' search experience with custom filters and build a faceted search interface in a few lines of code
- Sorting: sort results based on price, date, or pretty much anything else your users need
- Synonym support: configure synonyms to include more relevant content in your search results
- Geosearch: filter and sort documents based on geographic data
- Extensive language support: search datasets in any language, with optimized support for Chinese, Japanese, Hebrew, and languages using the Latin alphabet
- Security management: control which users can access what data with API keys that allow fine-grained permissions handling
- Multi-Tenancy: personalize search results for any number of application tenants
- Highly Customizable: customize Meilisearch to your specific needs or use our out-of-the-box and hassle-free presets
- RESTful API: integrate Meilisearch in your technical stack with our plugins and SDKs
- Conversational search: let users ask questions in natural language and get AI-generated answers grounded in your search results
- Personalization: tailor search results to individual users based on their preferences and behavior
- Search rules: define custom rules to dynamically adjust search behavior based on context
- Document relations: link documents across indexes to enrich search results with related data
- Replication & sharding: scale horizontally by distributing your data across multiple nodes
- AI-ready: works out of the box with LangChain and MCP (see AI & LLM integrations)
- Easy to deploy and maintain: start in minutes on Meilisearch Cloud with no servers to manage, or self-host a single binary with Docker, cURL, Homebrew, or APT
๐ฅ Examples
- Media โ Search movies and streaming platforms to watch them using hybrid search.
- Agentic search โ Chat with an AI agent to recommend movies and streaming platforms.
- Flickr โ Search and explore one hundred million Flickr images with semantic search.
- Ecommerce โ Ecommerce website using disjunctive facets, range and rating filtering, and pagination.
- Home Booking - A conversational search demo for finding holiday rentals using natural language.
- Search Playground โ An interactive playground to explore Meilisearch search features.
- Personalization โ A demo showcasing personalized search results tailored to individual users.
- SaaS โ Search for contacts, deals, and companies in this multi-tenant CRM application.
See the list of all our interactive demos.
๐งฐ SDKs & integration tools
Install one of our SDKs in your project for seamless integration between Meilisearch and your favorite language or framework!
Take a look at the complete Meilisearch integration list.
๐ค AI & LLM integrations
- MCP server: Meilisearch ships a native MCP server at the
/mcproute (experimental), so AI agents and MCP clients can search your indexes directly. It works the same on Meilisearch Cloud and self-hosted instances. - LangChain: use Meilisearch as a LangChain vector store.
- Conversational search: answer natural-language questions with responses grounded in your indexed data.
- llms.txt: a machine-readable index of the Meilisearch documentation for LLMs and coding agents.
๐ Documentation
The full documentation is at meilisearch.com/docs.
Experienced users will want to keep our API Reference close at hand.
We also offer a wide range of dedicated guides to all Meilisearch features, such as filtering, sorting, geosearch, API keys, and tenant tokens.
Finally, for more in-depth information, refer to our articles explaining fundamental Meilisearch concepts such as documents and indexes.
โ FAQ
Is there a managed, hosted version of Meilisearch?
Yes. Meilisearch Cloud is the managed service run by the team that builds Meilisearch. It handles deployment, upgrades, and backups, and adds monitoring, search analytics, and team management. See Ways to run Meilisearch.
Should I use Meilisearch Cloud or self-host?
Meilisearch Cloud is the recommended way to use Meilisearch and the fastest way to get started: no servers to deploy, upgrade, or back up, plus monitoring and analytics. Self-hosting runs the same engine with the same API and suits teams that need to operate their own infrastructure. You can move a self-hosted instance to Cloud later: see migrating to Meilisearch Cloud.
Can I host Meilisearch in the EU?
Yes. You can self-host anywhere. Meilisearch Cloud offers EU regions in Frankfurt and Paris, and Paris runs on the AWS European Sovereign Cloud. See Cloud regions.
How does Meilisearch compare to Algolia, Elasticsearch, Typesense, or vector databases?
See the side-by-side comparisons in our documentation: Algolia, Elasticsearch, Typesense, OpenSearch, Pinecone, Qdrant, PostgreSQL, and MongoDB Atlas Search. Migration guides are available for Algolia, Elasticsearch, Qdrant, and MongoDB Atlas Search.
Can I use Meilisearch with AI agents and RAG?
Yes. Meilisearch supports hybrid and semantic search, conversational search, a native MCP server, and LangChain. See AI & LLM integrations.
๐งพ Editions & Licensing
The Meilisearch engine is available in two editions. Both can be self-hosted. Meilisearch Cloud runs the engine for you as a managed service.
๐งช Community Edition (CE)
- Fully open source under the MIT license
- Core search engine with fast and relevant full-text, semantic or hybrid search
- Free to use for anyone, including commercial usage
๐ข Enterprise Edition (EE)
- Includes advanced features such as:
- Sharding
- S3-streaming snapshots
- Search rule previews
- Governed by a commercial license or the Business Source License 1.1
- Not allowed in production without a commercial agreement with Meilisearch.
- You may use, modify, and distribute the Licensed Work for non-production purposes only, such as testing, development, or evaluation.
Want access to Enterprise features? โ Contact us at sales@meilisearch.com.
๐ฆ External crates
Meilisearch vendors the following MIT-licensed external crates with code modifications to use the HTTP client located in crates/http-clients:
external-crates/async-openaiandexternal-crates/async-openai-macrosfrom https://github.com/64bit/async-openaiexternal-crates/reqwest-eventsourcefrom https://github.com/jpopesculian/reqwest-eventsource
๐ Telemetry
Meilisearch collects anonymized user data to help us improve our product. You can deactivate this whenever you want.
To request deletion of collected data, please write to us at privacy@meilisearch.com. Remember to include your Instance UID in the message, as this helps us quickly find and delete your data.
If you want to know more about the kind of data we collect and what we use it for, check the telemetry section of our documentation.
๐ซ Get in touch!
Meilisearch is a search engine created by Meili, a software development company headquartered in France and with team members all over the world. Want to know more about us? Check out our blog!
๐ Subscribe to our newsletter if you don't want to miss any updates! We promise we won't clutter your mailbox: we only send one edition every two months.
๐ Want to make a suggestion or give feedback? Here are some of the channels where you can reach us:
- For feature requests, please visit our product repository
- Found a bug? Open an issue!
- Want to be part of our Discord community? Join us!
Thank you for your support!
๐ฉโ๐ป Contributing
Meilisearch is, and will always be, open-source! If you want to contribute to the project, please look at our contribution guidelines.
๐ฆ Versioning
Meilisearch releases and their associated binaries are available on the project's releases page.
The binaries are versioned following SemVer conventions. To know more, read our versioning policy.
Differently from the binaries, crates in this repository are not currently available on crates.io and do not follow SemVer conventions.
Compatibility
- License
- Not measured
- Crate facts
- Not measured
- Runs on, Native code and Python bindings read crates on crates.io. This entry lists no crate.
Compare with similar projects
Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. |
5,660 binary downloads per release | Not applicable | 59,815 | Not measured | Not measured | Not measured | |
|
bm25 Featured
BM25 embedder, scorer, and search engine |
1,283,242 downloads over 30 days | 42 | 78 | 2.3.2 | GPU support unknown | No native code found | MIT |
|
meilisearch-sdk Featured
Rust wrapper for the Meilisearch API. Meilisearch is a powerful, fast, open-source, easy to use and deploy search engine. |
170,111 downloads over 30 days | 16 | 431 | 0.33.0 | GPU support unknown | No native code found | MIT |
|
regexr Listed
A high-performance regex engine built from scratch with JIT compilation and SIMD acceleration |
8,809 downloads over 30 days | 4 | 28 | 0.6.2 | GPU support unknown | No native code found | Apache-2.0 OR MIT |
|
Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! |
1,775 binary downloads per release | Not applicable | 1,772 | 0.8.1 | GPU support unknown | Binds native code: tree-sitter, tree-sitter-language, openssl-sys (feature openssl), ort-sys (feature mixedbread) | Apache-2.0 OR MIT |
|
๐ Tiny, full-text search engine for static websites built with Rust and Wasm |
147 binary downloads per release | Not applicable | 2,980 | Not measured | Not measured | Apache-2.0 | |
|
infino New
A fast retrieval engine that stores data on object storage and runs SQL, full-text search, and vector search over it from a single system โ search-on-Parquet. |
587 downloads over 30 days | 1 | 152 | 0.11.27 | GPU support unknown | Binds native code: zstd-sys, libmimalloc-sys (feature mimalloc) | Apache-2.0 |
Why FeaturedIt passes every Featured gate.
What it meets
- Its use signals read: binary downloads 16981, Homebrew 6153, Repology families 12, Docker growth unknown. Featured needs 2 of these to reach their limits.
- It also passes the repository route, which counts as one use signal: 59,815 stars, 2,783 forks and 231 contributors. It needs 4,539 stars, 434 forks and 79 contributors together.
- The last activity is on 4 Nov 2026, 5 days ago. The rules expect an update within 365 days. Dormancy rule
Not measured: First release.
Exact rules: Featured app. The check on applied thresholds version 9.
Every rule outcome, as the check records it
expected-interval: app: E = 365 daysdormancy: last activity 2026-11-04, 5 days ago, E = 365: activefeatured: featured: binary downloads 16981, Homebrew 6153, Repology families 12, Docker growth unknown, repository route stars 59815 (needs 4539), forks 2783 (needs 434), contributors 231 (needs 79)
Measurements and sources
Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.
Sources6 sources
- Description: the GitHub repository description
- GitHub releases, fetched
- GitHub repository, fetched
- Homebrew formula, fetched
- Repology project, fetched
- GitHub contributors, fetched
Adoption5,660 binary downloads per release4 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | Not measured | Yes | ||
| New dependents (365 days) | Not measured | Yes | ||
| Peak active dependents | Not measured | Yes | ||
| Active dependents as a share of the peak | Not measured | Yes | ||
| Binary downloads per release | 5660 | GitHub releases | Yes |
MaintenanceLatest human commit: 5 days ago7 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2026-11-04 | GitHub repository | Yes | |
| Latest release | 2026-11-02 | GitHub releases | Yes | |
| First release | Not measured | Yes | ||
| Latest version | Not measured | Yes | ||
| Days the oldest outside issue waits for a reply | 123 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 25 | GitHub repository | Yes | |
| Repository archived | false | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | Not measured | Yes | ||
| Published docs | Not measured | Yes | ||
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityNot measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | Not measured | Yes | ||
| RustSec unmaintained advisory | Not measured | Yes | ||
| Deprecation notice | Not measured | Yes | ||
| Deprecated requirement | Not measured | Yes |
Distribution16,981 binary downloads over the last 3 releases8 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | Not measured | Yes | ||
| Downloads over 30 days | Not measured | Yes | ||
| Binary downloads over the last 3 releases | 16981 | GitHub releases | Yes | |
| Homebrew installs on request over 365 days | 6153 | Homebrew formula | Yes | |
| Repology repository families | 12 | Repology project | Yes | |
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | Not measured | Yes | ||
| Every version 0.0.x | Not measured | Yes | ||
| Every version yanked | Not measured | Yes | ||
| Crate deleted from crates.io | Not measured | Yes |
Repository59,815 stars, 2,783 forks, 231 contributors, 14,896 commits. Stars alone never qualify a project.1 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 59815 | GitHub repository | Yes โ one part of the repository route | |
| GitHub forks | 2783 | GitHub repository | Yes โ one part of the repository route | |
| Contributors with a GitHub account | 231 | GitHub contributors | Yes โ one part of the repository route | |
| Commits on the default branch | 14896 | GitHub repository | No | |
| Repository's main crate left out of the entry | Not measured | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | Not measured | No | ||
| Runs on, from listed crates and their direct dependencies | Not measured | No | ||
| What shows each backend | Not measured | No | ||
| Native code, from listed crates and their dependencies | Not measured | No | ||
| Python bindings, from direct dependencies of listed crates | Not measured | No | ||
| Crates that depend on a listed crate directly | Not measured | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.
