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Version bump to 0.3.0 [skip ci]
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‎CHANGELOG.md‎

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## 0.3.0 (unreleased)
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## 0.3.0 (2024-06-25)
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- Added support for `halfvec`, `bit`, and `sparsevec` types to Django
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- Added support for `halfvec`, `bit`, and `sparsevec` types to SQLAlchemy and SQLModel

‎README.md‎

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- [Sentence embeddings](https://github.com/pgvector/pgvector-python/blob/master/examples/sentence_embeddings.py) with SentenceTransformers
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- [Hybrid search](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search_rrf.py) with SentenceTransformers (Reciprocal Rank Fusion)
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- [Hybrid search](https://github.com/pgvector/pgvector-python/blob/master/examples/hybrid_search.py) with SentenceTransformers (cross-encoder)
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- [Sparse search](https://github.com/pgvector/pgvector-python/blob/master/examples/sparse_search.py) with Transformers (unreleased)
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- [Sparse search](https://github.com/pgvector/pgvector-python/blob/master/examples/sparse_search.py) with Transformers
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- [Image search](https://github.com/pgvector/pgvector-python/blob/master/examples/pytorch_image_search.py) with PyTorch
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- [Image search](https://github.com/pgvector/pgvector-python/blob/master/examples/hash_image_search.py) with perceptual hashing
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- [Implicit feedback recommendations](https://github.com/pgvector/pgvector-python/blob/master/examples/implicit_recs.py) with Implicit
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embedding = VectorField(dimensions=3)
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```
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Also supports `HalfVectorField` (unreleased), `BitField` (unreleased), and `SparseVectorField` (unreleased)
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Also supports `HalfVectorField`, `BitField`, and `SparseVectorField`
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Insert a vector
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Item.objects.order_by(L2Distance('embedding', [3, 1, 2]))[:5]
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```
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Also supports `MaxInnerProduct`, `CosineDistance`, `L1Distance` (unreleased), `HammingDistance` (unreleased), and `JaccardDistance` (unreleased)
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Also supports `MaxInnerProduct`, `CosineDistance`, `L1Distance`, `HammingDistance`, and `JaccardDistance`
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Get the distance
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embedding = mapped_column(Vector(3))
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```
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Also supports `HALFVEC` (unreleased), `BIT` (unreleased), and `SPARSEVEC` (unreleased)
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Also supports `HALFVEC`, `BIT`, and `SPARSEVEC`
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Insert a vector
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session.scalars(select(Item).order_by(Item.embedding.l2_distance([3, 1, 2])).limit(5))
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```
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance` (unreleased), `hamming_distance` (unreleased), and `jaccard_distance` (unreleased)
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance`, `hamming_distance`, and `jaccard_distance`
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Get the distance
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embedding: Any = Field(sa_column=Column(Vector(3)))
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```
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Also supports `HALFVEC` (unreleased), `BIT` (unreleased), and `SPARSEVEC` (unreleased)
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Also supports `HALFVEC`, `BIT`, and `SPARSEVEC`
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Insert a vector
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session.exec(select(Item).order_by(Item.embedding.l2_distance([3, 1, 2])).limit(5))
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```
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance` (unreleased), `hamming_distance` (unreleased), and `jaccard_distance` (unreleased)
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance`, `hamming_distance`, and `jaccard_distance`
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Get the distance
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embedding = VectorField(dimensions=3)
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```
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Also supports `HalfVectorField` (unreleased), `FixedBitField` (unreleased), and `SparseVectorField` (unreleased)
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Also supports `HalfVectorField`, `FixedBitField`, and `SparseVectorField`
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Item.select().order_by(Item.embedding.l2_distance([3, 1, 2])).limit(5)
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```
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance` (unreleased), `hamming_distance` (unreleased), and `jaccard_distance` (unreleased)
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Also supports `max_inner_product`, `cosine_distance`, `l1_distance`, `hamming_distance`, and `jaccard_distance`
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Get the distance
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‎setup.py‎

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setup(
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name='pgvector',
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version='0.2.5',
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version='0.3.0',
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description='pgvector support for Python',
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long_description=long_description,
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long_description_content_type='text/markdown',

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