{"data":{"slug":"meilisearch-meilisearch","name":"meilisearch","tagline":"A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.","github_url":"https://github.com/meilisearch/meilisearch","owner":"meilisearch","repo":"meilisearch","owner_avatar_url":"https://avatars.githubusercontent.com/u/43250847?v=4","primary_language":"Rust","stars":59034,"forks":2672,"topics":["ai","api","app-search","database","enterprise-search","faceting","full-text-search","fuzzy-search","geosearch","hybrid-search","instantsearch","search","search-as-you-type","search-engine","semantic-search","site-search","typo-tolerance","vector-database","vector-search","vectors"],"archived":false,"github_pushed_at":"2026-08-14T09:38:01+00:00","maintenance_label":"Very active","stars_delta_30d":352,"url":"https://www.graphcanon.com/tools/meilisearch-meilisearch","markdown_url":"https://www.graphcanon.com/tools/meilisearch-meilisearch.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/meilisearch-meilisearch","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=meilisearch-meilisearch","description":"A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.","homepage_url":"https://www.meilisearch.com","license":"Other","open_issues":311,"watchers":296,"ai_summary":"Meilisearch is a Rust-based search engine designed for fast and flexible integration into various web and mobile applications, offering both full-text and vector search capabilities.","readme_excerpt":"## 🚀 Getting started\n\nFor basic instructions on how to set up Meilisearch, add documents to an index, and search for documents, take a look at our [documentation](https://www.meilisearch.com/docs?utm_campaign=oss&utm_source=github&utm_medium=meilisearch&utm_content=get-started) guide.\n\n---\n\n## 🧾 Editions & Licensing\n\nMeilisearch is available in two editions:","github_created_at":"2018-04-23T11:45:28+00:00","created_at":"2026-07-07T17:43:38.265582+00:00","updated_at":"2026-08-21T06:01:56.342087+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"vector-databases","name":"Vector Databases","url":"https://www.graphcanon.com/categories/vector-databases","markdown_url":"https://www.graphcanon.com/categories/vector-databases.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/vector-databases"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"api","name":"api"},{"slug":"app-search","name":"app-search"},{"slug":"database","name":"database"},{"slug":"enterprise-search","name":"enterprise-search"},{"slug":"faceting","name":"faceting"},{"slug":"full-text-search","name":"full-text-search"},{"slug":"fuzzy-search","name":"fuzzy-search"}],"trust":{"provenance":{"is_fork":false,"github_id":130688011,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-21T06:01:55.247Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":20,"days_since_push":6,"last_release_at":"2026-08-13T13:03:58Z","stars_delta_30d":352,"open_issues_delta_30d":-8},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:24:10.378Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-21T06:01:56.048Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-21T06:01:56.048Z","managed_saas":false},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-08-21T06:01:56.048Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-21T06:01:56.048Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-08-21T06:01:56.048Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- You require fast integration capabilities for your web or mobile application, as Meilisearch offers flexible deployment options.","- Your projects demand AI-powered semantic and vector search along with traditional textual searching. The hybrid approach sets it apart from purely text-based or vector-only solutions."],"when_not_to_use":["- When you specifically need language support for a large number of languages beyond what Meilisearch currently offers, as some specialized multilingual search engines might handle more languages nimb","- If your application does not require real-time search-as-you-type or typo tolerance features which can add overhead and may slow down performance in less demanding scenarios."],"source":"enrich:decision_facts","observed_at":"2026-07-11T12:20:11.112Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Meilisearch is a Rust-based, lightning-fast hybrid search engine that integrates easily into web and mobile applications. It supports both full-text and vector searches."}]}}