Show HN: Fixing AI memory blind spot on connected facts with benchmark
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有料· US$〜20.00/月
2026年にリリース
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 ?
長所
- +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
短所
- −Requer conhecimento avançado em IA e aprendizado de máquina
- −Pode ser caro para implementar e manter