🌉 Plato Sim Bridge
Embedding-based tile comparison and semantic room routing for PLATO
Computes semantic similarity between knowledge tiles. Routes new tiles to the most relevant PLATO rooms based on content similarity. Detects near-duplicates through embedding comparison.
Install
pip install plato-sim-bridge
Quick Start
from plato_sim_bridge import SimBridge, SemanticRouter
bridge = SimBridge()
sim = bridge.similarity("PLATO rooms store knowledge", "Knowledge tiles live in PLATO rooms")
print(f"Similarity: {sim:.2f}")
router = SemanticRouter(bridge)
router.register_room("architecture", "System design, module structure, API patterns")
router.register_room("mathematics", "Constraint theory, Pythagorean triples, exact arithmetic")
result = router.route("How does the KD-tree snap vectors?")
print(result) # [("architecture", 0.75), ("mathematics", 0.42)]
API
| Class | Purpose |
|---|---|
SimBridge |
Cosine similarity, find_similar, dedup |
EmbeddingProvider |
Pluggable embedding source |
SemanticRouter |
Route content to best-matching room |
Part of Cocapn · Agent Infrastructure
1 maintainer
Metadata
1 maintainer
Release files for plato-sim-bridge 0.1.1
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