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Merged
craftsangjae merged 2 commits into from
Feb 16, 2026
Merged

Bump version to v0.1.1 #2

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23e8500
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craftsangjae Feb 16, 2026
a199289
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craftsangjae Feb 16, 2026
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4 changes: 2 additions & 2 deletions CLAUDE.md
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Expand Up @@ -14,7 +14,7 @@ MuVERA (Multi-Vector Retrieval via Fixed Dimensional Encoding Algorithm) is a Py

No config dataclasses, no encoding-type enums, no manual seed juggling. Just NumPy arrays in, NumPy arrays out.

**Distribution Plan**: The library will be published to PyPI for easy installation via `pip install muvera`.
**Distribution Plan**: The library will be published to PyPI for easy installation via `pip install muvera-python`.

**Key use case**: Efficiently encode ColBERT-style multi-vector embeddings for retrieval without specialized infrastructure.

Expand Down Expand Up @@ -200,7 +200,7 @@ Output dimension: `num_repetitions * 2^num_simhash_projections * projection_dime
**OIDC Setup (one-time):**
1. Go to [PyPI](https://pypi.org) → Account settings → Publishing
2. Add a new pending publisher:
- PyPI Project Name: `muvera`
- PyPI Project Name: `muvera-python`
- Owner: `craftsangjae`
- Repository: `muvera-python`
- Workflow: `publish.yml`
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6 changes: 3 additions & 3 deletions pyproject.toml
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Expand Up @@ -3,16 +3,16 @@ requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "muvera"
version = "0.1.0"
name = "muvera-python"
version = "0.1.1"
description = "MuVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings"
readme = "README.md"
license = "MIT"
requires-python = ">=3.9"
authors = [
{ name = "craftsangjae" },
]
keywords = ["muvera", "multi-vector", "retrieval", "embedding", "fixed-dimensional-encoding"]
keywords = ["muvera", "muvera-python", "multi-vector", "retrieval", "embedding", "fixed-dimensional-encoding"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
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