# 使用 Homebrew, Nix, pacman, scoop 安装 meilisearch 查看 meilisearch 的安装路径、可执行文件、元数据以及面向 AI 代理工作流的安全说明。 ## 安装 ```sh sudo av install brew:meilisearch ``` 其他安装命令: ### macOS - Homebrew (100%): ```sh brew install meilisearch ``` 证据: local Homebrew formula metadata ### Linux - Nix (92%): ```sh nix profile install nixpkgs#meilisearch ``` 证据: nixpkgs package indexes: pkgs/by-name/me/meilisearch/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - pacman (92%): ```sh sudo pacman -S meilisearch ``` 证据: Arch Linux sync databases: meilisearch from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz ### Windows - Scoop (92%): ```sh scoop install main/meilisearch ``` 证据: Scoop official bucket manifest trees: bucket/meilisearch.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## 软件包事实 - **软件包键:** brew:meilisearch - **软件包管理器:** Homebrew - **版本:** 1.52.0 - **来源摘要:** Ultra relevant, instant and typo-tolerant full-text search API - **主页:** - **仓库:** - **最后更新:** 2026-08-03T15:22:08Z - **已生成:** 2026-08-03T19:37:03+00:00 ## 可执行文件 - meilisearch (别名) ## 安装行为 - Bottle: 不可用 ## 版本和新鲜度 - 页面生成时间: 2026-08-03 - 管理器版本: 1.52.0 ## 项目历史与用法 Meilisearch is an open-source search engine distributed as a single binary with a REST API. The official documentation presents it as a fast, typo-tolerant, full-text, semantic, and hybrid search engine for websites, apps, documentation, internal tools, and AI retrieval workflows. ### 项目历史 Meilisearch grew around a developer-experience pitch: install one binary, send documents, and get fast search-as-you-type with sensible defaults instead of operating a heavier search cluster. The current README and docs still foreground that single-binary REST model, SDKs, typo tolerance, filtering, faceting, sorting, synonyms, geosearch, API keys, and multi-tenancy. Version 1.0.0 marked a stabilization milestone. The v1.0.0 release notes describe it as the first major release, with emphasis on CLI stability, final breaking CLI changes before v2.0.0, language-support improvements, indexing and search-speed work, and migration support from older versions via dumps. The project later expanded beyond classic keyword search. Current official docs describe fast full-text search, semantic search, hybrid search, conversational interfaces, RAG-oriented retrieval, vector embeddings, sharding, replication, Meilisearch Cloud, and SDKs for more than ten languages. ### 采用历史 Meilisearch became one of the more visible packaged search servers in the developer-tools ecosystem. The GitHub repository shows tens of thousands of stars and thousands of forks, and the supplied package facts list Homebrew, Nix, pacman, and Scoop packages. Its adoption is helped by the packaging shape: a Rust binary, Docker images, release binaries, and straightforward config via command-line flags, environment variables, or a TOML file. That makes it attractive for local development, small production services, SaaS search features, and demos where Elasticsearch-style operational weight is unwanted. ### 使用方式 A typical self-hosted Meilisearch setup starts the server, indexes JSON documents, and uses the HTTP API or SDKs for search. The docs state that command-line options have highest configuration precedence, then environment variables, then the TOML config file. By default Meilisearch looks for config.toml in the working directory. The docs also document MEILI_CONFIG_FILE_PATH and --config-file-path for overriding that location. ### 为什么软件包爱好者会关心 Meilisearch matters to package maintainers because it is a modern search daemon whose appeal depends on low-friction installation. It sits at the intersection of Rust services, developer-local databases, REST APIs, and search infrastructure, so package updates carry both binary compatibility and index-format migration concerns. ### 时间线 - 2023-02-06: Meilisearch v1.0.0 released as the first major release. - 2023: v1.0 release notes stabilized CLI behavior and committed to no breaking changes before v2.0.0. - 2026: Current docs describe full-text, semantic, hybrid, and conversational search in one API. ### Related projects - milli: Meilisearch's search/indexing engine referenced in release notes. - Meilisearch Cloud: the hosted service for Meilisearch. - Official SDKs: JavaScript, Python, PHP, Ruby, Go, Rust, Java, .NET, Swift, and Dart clients documented by the project. ### 来源 - - - - - source_facts.package-manager-url ## 安全说明 formula declares a Homebrew service. - **Geiger 风险:** orange / 中 - formula declares a Homebrew service ## Configuration and credential file locations These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval. ## Configuration files - Unix: ./config.toml - Windows: .\config.toml ## 其他软件包管理器记录 - Nix - meilisearch: normalized package name match | nixpkgs package indexes: pkgs/by-name/me/meilisearch/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - pacman - meilisearch - 1:1.51.0-1: normalized package name match | Arch Linux sync databases: meilisearch from https://geo.mirror.pkgbuild.com/extra/os/x86_64/extra.db.tar.gz | Lightning Fast, Ultra Relevant, and Typo-Tolerant Search Engine | https://docs.meilisearch.com/ - Scoop - main/meilisearch: normalized package name match | Scoop official bucket manifest trees: bucket/meilisearch.json from https://api.github.com/repos/ScoopInstaller/Main/git/trees/master?recursive=1 ## Combined YAML source View the package source record on GitHub. [combined/meilisearch.yml](https://github.com/mxcl/pkgdb/blob/main/combined/meilisearch.yml) ## 来源 - pkg.so package database - Geiger risk classifier - curated configuration and credential file locations - curated package history - pkgdb category and tag curation - external package-manager database matches - cross-ecosystem install command graph