Fixing AI memory blind spot on connected facts with benchmark

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

Fixing AI memory blind spot on connected facts with benchmark is active in the show hn launch space.

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

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Website: yourmemoryai.xyz