Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LevelRAGgithub.com · Low evidenceLevelRAG is a two-stage retrieval augmented generation framework that enhances retrieval completeness and accuracy through multi-hop logic planning and hybrid retrieval. It decomposes user queries into atomic sub-queries and employs multiple low-level searchers to retrieve relevant documents for final answer generation.
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