newsReddit r/LocalLLaMATrust 58 · CommunityPublished 1mo agoLive · 1mo ago
Benchmarked Graph-RAG vs. Graph-Free Multi-Hop RAG: The graph mostly bought us a massive rebuild bill, not accuracy.
We kept hitting the same wall building multi-hop RAG: the systems with the best accuracy (GraphRAG, HippoRAG 2, RAPTOR) all lean on a knowledge graph built offline - and that’s great numbers, until the moment your data changes! Every update means re-running an LLM indexing pass to rebuild the graph. For a corpus that moves daily (prices, filings, tickets, news), you're paying that rebuild cost constantly. So we tested whether the graph is actually necessa
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- LinkedLinked via unknownQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs →
- PossiblePossibly related (embedding) · 47%HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report →
- PossiblePossibly related (embedding) · 45%magic5644/Graph-It-Live →
- PossiblePossibly related (embedding) · 52%bibinprathap/VeritasGraph →
- PossiblePossibly related (embedding) · 53%RaguTeam/RAGU →
- PossiblePossibly related (embedding) · 55%RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM →
- PossiblePossibly related (embedding) · 55%microsoft/graphrag →
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repobibinprathap/VeritasGraphrepomicrosoft/graphragpaperHNSW with Accuracy Guarantees Using Graph Spanners -- A Technical ReportpaperRAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLMpaperQuery-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphsrepomagic5644/Graph-It-LiverepoRaguTeam/RAGU