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Orthogonal tensor (hypercube) assumes independent axes. Shear into parallelotope (hyper-rhomboid) models entangled dimensions. The shear angle encodes correlation strength; the Gram matrix of the shear IS the compression dictionary. 6 stack mappings: - PIST n-D: Cartesian → Bundle → Radial = hypercube → rhomboid → collapsed - Topological state machine: transition = shear on state tensor - N-D Gene Hypothesis: gene = n-D rhomboid, 3D structure = projection shadow - FAMM: preshaped delay = sheared time-domain rhomboid - OAC: latent cavity in sheared rhomboid space - Waveprobe: curvature = local shear angle of coordinate basis 3 compression interpretations + information gravity metric tensor
17 lines
946 B
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17 lines
946 B
Text
created: 20260507000000000
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modified: 20260507000000000
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tags: ResearchStack Infrastructure Swarm Caching
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title: Swarm ENE Middleware
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type: text/vnd.tiddlywiki
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! Swarm ENE Middleware
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`4-Infrastructure/infra/swarm_ene_middleware.py` (427 lines) — middleware that hooks the Research Swarm API into the ENE database for query result caching, audit logging, and semantic retrieval. Maintains three SQLite tables: swarm_query_cache (TTL-based cache with hit counters), swarm_api_audit (operation log with timing), and swarm_semantic_index (14D concept vector index). Currently uses O(N) brute-force cosine similarity search. The cache stores 14D semantic vectors derived from query subjects via MD5 hashing. Part of the planned HNSW-based ANN upgrade (see [[HNSW Vector Search]] and the [[ENe Cognitive Refactor Plan]]).
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!! Links
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* [[ENE API Hook]]
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* [[ENE Wiki Layer]]
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* [[HNSW Vector Search]]
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* [[Semantic Graph Mining]]
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* [[Concept Vector 14]]
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