{"data":{"slug":"jzbjyb-flare","name":"FLARE","tagline":"Forward-Looking Active REtrieval-augmented generation","github_url":"https://github.com/jzbjyb/FLARE","owner":"jzbjyb","repo":"FLARE","owner_avatar_url":"https://avatars.githubusercontent.com/u/5134761?v=4","primary_language":"Python","stars":669,"forks":62,"topics":[],"archived":false,"github_pushed_at":"2023-11-20T08:25:17+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/jzbjyb-flare","markdown_url":"https://www.graphcanon.com/tools/jzbjyb-flare.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jzbjyb-flare","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jzbjyb-flare","description":"Forward-Looking Active REtrieval-augmented generation (FLARE)","homepage_url":null,"license":"MIT","open_issues":17,"watchers":6,"ai_summary":"A Python-based repository for FLARE, focusing on retrieval-augmented generation.","readme_excerpt":"## Install environment with Conda\nCreate a conda env and follow `setup.sh` to install dependencies.","github_created_at":"2023-05-10T09:35:50+00:00","created_at":"2026-07-11T23:05:38.260377+00:00","updated_at":"2026-07-12T02:09:37.637227+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"}],"tags":[{"slug":"conda-environment","name":"conda environment"},{"slug":"retrieval-augmented-generation","name":"retrieval-augmented-generation"},{"slug":"python-dependencies","name":"python dependencies"}],"trust":{"provenance":{"is_fork":false,"github_id":638873405,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:05:47.033Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":964,"last_release_at":null},"security_summary":{"status":"findings","scanner":"osv@v1","low_count":48,"high_count":0,"last_scan_at":"2026-07-11T23:05:47.396Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T02:09:09.614Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-12T02:09:09.614Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-12T02:09:09.614Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["- Use FLARE specifically when you need an active-learning approach to retrieval that takes into account future relevance for the generated content.","- When your project is already using Conda environments, making dependencies easier to manage with `setup.sh`."],"when_not_to_use":["- Avoid FLARE if your project requires more generalized or passive retrieval methods that don't integrate active learning and forward-looking insights.","- If you're working in an environment without Conda support, you may face dependency management challenges that could complicate the setup process with `setup.sh`."],"source":"enrich:decision_facts","observed_at":"2026-07-12T02:09:30.464Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"FLARE is a retrieval-augmented generation tool written in Python, aimed at enhancing specific use cases through active learning and forward-looking approaches. It operates under the MIT license."}]}}