diff --git a/CLAUDE.md b/CLAUDE.md
index b346e40..25e9f45 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -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.
 
@@ -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`
diff --git a/pyproject.toml b/pyproject.toml
index 3983fac..a3344b7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,8 +3,8 @@ 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"
@@ -12,7 +12,7 @@ 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",