{"data":{"slug":"lanterndata-lantern","name":"lantern","tagline":"PostgreSQL vector database extension for building AI applications","github_url":"https://github.com/lanterndata/lantern","owner":"lanterndata","repo":"lantern","owner_avatar_url":"https://avatars.githubusercontent.com/u/138075683?v=4","primary_language":"Rust","stars":893,"forks":67,"topics":["ai","ann","approximate-nearest-neighbor-search","data-science","database","embeddings","hnsw","image-search","knn","machine-learning","mlops","nearest-neighbor-search","neural-search","open-source","postgres","postgresql","search","vector","ycombinator"],"archived":false,"github_pushed_at":"2024-12-12T11:38:34+00:00","maintenance_label":"Dormant","stars_delta_30d":4,"url":"https://www.graphcanon.com/tools/lanterndata-lantern","markdown_url":"https://www.graphcanon.com/tools/lanterndata-lantern.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/lanterndata-lantern","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=lanterndata-lantern","description":"PostgreSQL vector database extension for building AI applications","homepage_url":"https://lantern.dev","license":"AGPL-3.0","open_issues":43,"watchers":8,"ai_summary":"LanternData/lantern is a PostgreSQL vector database extension written in Rust, enabling developers to implement approximate nearest neighbor search for AI and machine-learning purposes.","readme_excerpt":"## 🔧 Quick Install\n\nIf you don’t have PostgreSQL already, use Lantern with [Docker](https://hub.docker.com/r/lanterndata/lantern) to get started quickly:\n\n```bash\ndocker run --pull=always --rm -p 5432:5432 -e \"POSTGRES_USER=$USER\" -e \"POSTGRES_PASSWORD=postgres\" -v ./lantern_data:/var/lib/postgresql/data lanterndata/lantern:latest-pg15\n```\nThen, you can connect to the database via `postgresql://$USER:postgres@localhost/postgres`.\n\nTo install Lantern using `homebrew`:\n\n```\nbrew tap lanterndata/lantern\nbrew install lantern && lantern_install\n```\n\nYou can also install Lantern on top of PostgreSQL from our [precompiled binaries](https://github.com/lanterndata/lantern/releases) via a single `make install`.\n\nAlternatively, you can use Lantern in one click using [Replit](https://replit.com/@lanterndata/lantern-playground#.replit).","github_created_at":"2023-07-11T00:22:57+00:00","created_at":"2026-07-11T11:31:54.644148+00:00","updated_at":"2026-09-20T06:17:23.85734+00:00","categories":[{"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":"ann","name":"ann"},{"slug":"approximate-nearest-neighbor-search","name":"approximate-nearest-neighbor-search"},{"slug":"data-science","name":"data-science"},{"slug":"embeddings","name":"embeddings"},{"slug":"hnsw","name":"hnsw"},{"slug":"knn","name":"knn"},{"slug":"machine-learning","name":"machine-learning"}],"trust":{"provenance":{"is_fork":false,"github_id":664872761,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T06:17:21.870Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":646,"last_release_at":"2024-11-15T19:36:47Z","stars_delta_30d":4,"open_issues_delta_30d":1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:31:56.078Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T06:17:23.168Z"},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-09-20T06:17:23.168Z"},"license_spdx":{"value":"AGPL-3.0","source":"github.license","observed_at":"2026-09-20T06:17:23.168Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need to perform vector database operations integrated with a PostgreSQL environment","If your project benefits from the use of Rust for improved performance and memory safety"],"when_not_to_use":["Avoid when an open-source license like AGPL-3.0 might interfere with proprietary or closed-source projects","Not suitable if you require direct support for non-vector indexing operations outside ANN capabilities"],"source":"enrich:decision_facts","observed_at":"2026-07-17T08:15:49.548Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Lantern is an extension for PostgreSQL written in Rust, providing capabilities for approximate nearest neighbor search tailored for AI applications."},{"label":"License detail","value":"AGPL-3.0, allowing free use and modification but requiring derivative works to be open-sourced as well."}]}}