{"data":{"full_name":"CoRAL-ASU/REaR","name":"REaR","description":"REAR is a fast, LLM-free framework for multi-table retrieval that separates semantic relevance from structural joinability. By retrieving relevant tables, expanding with joinable ones, and refining noisy candidates, it consistently improves multi-table QA and Text-to-SQL performance—matching LLM-based methods at much lower cost and latency.","stars":2.0,"forks":1.0,"language":"Python","license":"CC-BY-4.0","archived":0.0,"subcategory":"text-to-sql-rag","last_pushed_at":"2026-03-01T16:44:44+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":2.0,"maturity_score":9.0,"community_score":12.0,"quality_score":33.0,"quality_tier":"emerging","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-10T06:26:03.190664+00:00"}}