{"data":{"slug":"aashirpersonal-semantic-coverage","name":"semantic-coverage","tagline":"Automated detection of knowledge gaps and blind spots in RAG vector stores","github_url":"https://github.com/aashirpersonal/semantic-coverage","owner":"aashirpersonal","repo":"semantic-coverage","owner_avatar_url":"https://avatars.githubusercontent.com/u/143865833?v=4","primary_language":"Python","stars":12,"forks":0,"topics":[],"archived":false,"github_pushed_at":"2025-12-24T10:47:25+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/aashirpersonal-semantic-coverage","markdown_url":"https://www.graphcanon.com/tools/aashirpersonal-semantic-coverage.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/aashirpersonal-semantic-coverage","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=aashirpersonal-semantic-coverage","description":"Automated detection of knowledge gaps and blind spots in RAG vector stores.","homepage_url":null,"license":null,"open_issues":1,"watchers":0,"ai_summary":"A tool for identifying areas where a Retriever-Aggregator-Generator (RAG) system may not have sufficient data or coverage, likely focusing on the analysis and evaluation of vector databases used in RAG systems.","readme_excerpt":"### 1. Installation\n\n```bash\ngit clone https://github.com/aashirpersonal/semantic-coverage.git\ncd semantic-coverage","github_created_at":"2025-12-24T10:38:00+00:00","created_at":"2026-07-11T23:15:47.234332+00:00","updated_at":"2026-07-12T03:16:06.64238+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"evaluation","name":"evaluation"},{"slug":"blind-spots","name":"blind spots"},{"slug":"vector-stores","name":"vector stores"},{"slug":"rag","name":"rag"},{"slug":"knowledge-gaps","name":"knowledge gaps"}],"trust":{"provenance":{"is_fork":false,"github_id":1122239350,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-11T23:15:52.543Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":199,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:15:52.928Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-12T03:15:45.923Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-07-12T03:15:45.923Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need to pinpoint areas where a Retriever-Aggregator-Generator (RAG) system lacks sufficient data or has blind spots.","For deep analysis of vector databases used within RAG systems, especially when looking to improve coverage and accuracy."],"when_not_to_use":["If your focus is on integrating RAG models without the need for advanced evaluation metrics.","When only concerned with deploying basic vector store setups that do not require extensive post-deployment analysis or fine-tuning."],"source":"enrich:decision_facts","observed_at":"2026-07-12T03:16:06.425Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Semantic-Coverage focuses on identifying knowledge gaps within RAG vector stores, providing unique insights into its performance and coverage. Key insights are drawn from specific functions in the evaluation toolkit."}]}}