MeiliSearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
MeiliSearch is built in Rust, distributed under the MIT License, 57.1k GitHub stars from 100 contributors, latest release v1.41.0.
When to use MeiliSearch
MeiliSearch is listed here as a API project. The directory calls out Instant search capabilities, Faceted filtering & sorting, Typo tolerant as capabilities associated with it.
Other recorded traits for MeiliSearch include RESTful API, Scalable and easy to deploy.
Besides API, this page also files MeiliSearch under AI, DevOps.
MeiliSearch compared with
Records in this directory name Elasticsearch, Algolia, Typesense as products people compare with MeiliSearch. That list is editorial metadata, not a claim that MeiliSearch replaces each of them.
Open-source projects that mention MeiliSearch are collected on a separate alternatives page.
What the MeiliSearch stats reflect
GitHub currently shows 57.1k GitHub stars, about 100 contributors, 2.5k forks, 290 open issues, latest tracked release v1.41.0. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.
Stats refreshed
- Language
- Rust
- Latest Release
- v1.41.0
- License
- MIT License
Our Newsletter
Get new API tools right in your inbox
Get short emails with useful api projects, releases, and repos worth watching.
Key features of MeiliSearch
- Instant search capabilities
- Faceted filtering & sorting
- Typo tolerant
- RESTful API
- Scalable and easy to deploy
Recorded alternatives to MeiliSearch
Compare with
MeiliSearch resources
MeiliSearch on GitHub
Frequently asked questions
What is MeiliSearch?
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications. This directory highlights Instant search capabilities, Faceted filtering & sorting, Typo tolerant.
Is MeiliSearch free to use?
MeiliSearch is published as open source under the MIT License. The directory lists Instant search capabilities, Faceted filtering & sorting, Typo tolerant among its recorded capabilities.
What language is MeiliSearch written in, and what is the latest release?
MeiliSearch is written primarily in Rust. The latest release tracked on this page is v1.41.0.
How widely is MeiliSearch used on GitHub?
MeiliSearch has about 57.1k GitHub stars across about 100 contributors. It also has about 2.5k forks. Those counts are a snapshot of community attention, not a ranking of quality.
What do people compare MeiliSearch with?
This directory records Elasticsearch, Algolia, Typesense as comparison points for MeiliSearch. A longer list of open-source projects that mention MeiliSearch is at https://www.open-source-tools.com/alternatives/meilisearch.
Related tools
Typesense
Open Source alternative to Algolia and Pinecone, and an easier-to-use alternative to ElasticSearch. Fast, typo tolerant, in-memory fuzzy search engine for building delightful search experiences.
Elasticsearch
Free and Open Source, Distributed, RESTful Search Engine for advanced searching and data analytics.
Sonic
Sonic is a fast, lightweight, and schema-less search backend. It serves as an alternative to Elasticsearch, designed to run on minimal resources, making it ideal for applications with limited memory availability. Sonic offers an efficient search and indexing mechanism at high speed while being easy to integrate.
LibreChat
LibreChat is an enhanced ChatGPT clone offering features like agents, DeepSeek, Anthropic, AWS, OpenAI integration, and more. It allows secure multi-user authentication, AI model switching, message search, and supports various AI models and tools for a comprehensive chat experience. It is open-source and self-hostable.
N8n
A powerful fair-code workflow automation platform with native AI capabilities. It combines visual workflow building with the ability to include custom code. Self-host or use the cloud version with over 400+ integrations available.
Cube
Cube is a universal semantic layer platform for AI, BI, spreadsheets, and embedded analytics. It serves as an access layer for data analytics, providing real-time data access and integration across multiple sources.