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WangKaiLin/
PipeOwl-1.2

Name: PipeOwl-1.2
Rating: 2.5 (5 reviews)

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PipeOwl-1.2(Geometric Embedding)

A transformer-free semantic retrieval engine.

PipeOwl performs deterministic vocabulary scoring over a static embedding field:

score = α⋅base + β⋅Δfield

where:

base = cosine similarity in embedding space
Δfield = static scalar field bias

Features:

O(n) over vocabulary.
No attention.
No transformer weights.

Patch Note

1.1

fix OOV
symbolic fallback
english fallback
japanese fallback
PipeOwlConfig improvement
Tokenizer: max_len cap
load_assets: contiguous + row-normalize
small benchmark

1.2

safetensors support

Architecture

Static embedding table (V × D)
Aligned vocabulary index
Optional scalar bias field
Linear scoring
Pluggable decoder stage
Targeted for CPU environments and low-latency systems (e.g. IME).
Single static field (~635MB), no runtime model weights.

Attribution

The base embedding vectors were generated using BGE-M3 (Apache-2.0) via inference. This repository does not redistribute any original BGE weights.

Quickstart

bash

pip install numpy safetensors
python quickstart.py

See full experimental notes here:

https://hackmd.io/@galaxy4552/SJ5DatsuZx

Repository Structure