vecboost 0.1.2

High-performance embedding vector service written in Rust
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[server]
host = "127.0.0.1"
port = 9002
timeout = 30

[model]
model_repo = "BAAI/bge-m3"
use_gpu = false
batch_size = 8
expected_dimension = 1024

[embedding]
default_aggregation = "mean"
similarity_metric = "cosine"
cache_enabled = false
cache_size = 0
max_batch_size = 32

[monitoring]
memory_limit_mb = 512
metrics_enabled = false
log_level = "info"

[rate_limit]
enabled = false

[pipeline]
enabled = false

[pipeline.priority]
base_priority = 50
timeout_boost_factor = 2.0

[pipeline.priority.user_tier_weights]
free = 1.0
basic = 1.5
premium = 2.0
enterprise = 3.0

[pipeline.priority.source_weights]
http = 1.0
grpc = 1.2
internal = 1.5

[audit]
enabled = false