# ReeCall.ai Default Configuration

[model]
input_dim = 128
hidden_dim = 64
embed_dim = 32

[training]
epochs = 50
learning_rate = 0.001
margin = 0.5
neg_ratio = 3
batch_size = 64
weight_decay = 0.0001
seed = 42

[clustering]
threshold = 0.5
folder_weight = 0.4
import_weight = 0.4
naming_weight = 0.2

[retrieval]
top_k = 10

[watcher]
debounce_ms = 500

[paths]
graph_dir = data/graphs
checkpoint_dir = data/checkpoints
embeddings_dir = data/embeddings