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Show HN: Fixing AI memory blind spot on connected facts with benchmark logo

Show HN: Fixing AI memory blind spot on connected facts with benchmark

4.5(10,000 ulasan)
Berbayar· mulai US$20.00/bln
Diluncurkan 2026

Sobre

Semantic search alone is not enough to capture all connected facts, they will capture the semantically most identical memory only.<p>Tested on HotpotQA public dataset:<p>Vector + BM25 + entity graph: BothFound@5 71.5% Vector + BM25 only: BothFound@5 59.5%<p>Entity graph is the game changer to extract connected facts.<p>More Benchmark result:<p>LongMemEval-S: 84.8% recallAll@5 LoCoMo-10: 59% vs zep cloud 28%<p>What is your approach for connected facts retrieval ?

Kelebihan

  • +Captura conectados fatos com precisão
  • +Melhora a busca semântica com gráficos de entidades
  • +Aumenta a precisão em 12% em comparação com a busca semântica sozinha

Kekurangan

  • Requer conhecimento avançado em IA e aprendizado de máquina
  • Pode ser caro para implementar e manter