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Embeddings API scores (#671)
- Put scores in all responses - Remove unused 'middle' vector layer. Vector of texts -> vector of (vector embedding)
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65 changed files with 1339 additions and 1292 deletions
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@ -108,7 +108,7 @@ class TestFastEmbedDynamicModelLoading(IsolatedAsyncioTestCase):
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# Assert
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mock_fastembed_instance.embed.assert_called_once_with(["test text"])
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assert processor.cached_model_name == "test-model" # Still using default
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assert result == [[[0.1, 0.2, 0.3, 0.4, 0.5]]]
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assert result == [[0.1, 0.2, 0.3, 0.4, 0.5]]
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@patch('trustgraph.embeddings.fastembed.processor.TextEmbedding')
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@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
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@ -60,7 +60,7 @@ class TestOllamaDynamicModelLoading(IsolatedAsyncioTestCase):
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model="test-model",
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input=["test text"]
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)
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assert result == [[[0.1, 0.2, 0.3, 0.4, 0.5]]]
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assert result == [[0.1, 0.2, 0.3, 0.4, 0.5]]
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@patch('trustgraph.embeddings.ollama.processor.Client')
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@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
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@ -86,7 +86,7 @@ class TestOllamaDynamicModelLoading(IsolatedAsyncioTestCase):
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model="custom-model",
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input=["test text"]
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)
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assert result == [[[0.1, 0.2, 0.3, 0.4, 0.5]]]
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assert result == [[0.1, 0.2, 0.3, 0.4, 0.5]]
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@patch('trustgraph.embeddings.ollama.processor.Client')
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@patch('trustgraph.base.async_processor.AsyncProcessor.__init__')
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