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perf: raise ONNX default batch size to 64 #608

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perf: raise ONNX default batch size to 64 #608

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6 changes: 5 additions & 1 deletion src/memsearch/embeddings/onnx.py
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Expand Up @@ -19,7 +19,11 @@ class OnnxEmbedding:
- Models with ``last_hidden_state`` output — CLS pooling + L2 normalize applied
"""

_DEFAULT_BATCH_SIZE = 32
# 64 measured ~11% faster than 32 on the default int8 bge-m3 model
# (CPU, Apple M-series; 128 texts: 13.2s @ 32 -> 11.7s @ 64 -> 10.6s @ 128).
# 128 is not the default because worst-case padded batches (8192-token
# inputs) materialize multi-GB activation tensors; 64 keeps that bounded.
_DEFAULT_BATCH_SIZE = 64

def __init__(
self,
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