Vector-Free Semantic Search
Search by meaning using BM25 + 5 Korean semantic network graph distances — no embeddings
MEMORIA · Beta
Vector-Free AI Long-Term Memory Engine
AI long-term memory engine using 5 Korean semantic networks and causal centrality graphs — no embeddings needed. v23 architecture outperforms commercial embedding models.
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MEMORIAScreen mockup · illustrative workflow
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Vector-Free Semantic SearchConfiguration
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DESIGNED AROUND YOUR WORK
Capabilities for your work
Causal Centrality Recall
410K causal edges rank memory recall by causal importance — remembers what matters most
3-Layer Memory Architecture
Long-term / 30-day short-term / 7-day working memory with automatic tier migration
Sub-15ms Recall Speed
99th-percentile recall under 15ms — optimized for real-time AI conversations