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fix code and explanations

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davidmyriel
2024-08-06 15:42:27 -07:00
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qdrant-landing/content/documentation/fastembed/fastembed-quickstart.md
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@@ -54,20 +54,7 @@ Document: fastembed is supported by and maintained by Qdrant.
Vector of type: <class 'numpy.ndarray'> with shape: (384,)
```
## Verify embedding shape
Next, take the embeddings and convert them into a NumPy array.
Then, check the shape of this array to confirm the dimensions of the generated embeddings.
```python
embeddings_list = np.array(list(embedding_model.embed(documents)))
embeddings_list.shape
```
The shape will be a tuple indicating the number of documents and the dimensions of the embeddings. For example, if there are 2 documents and each embedding has 384 dimensions, the shape will be (2, 384).
```python
(2, 384)
```
## See the embeddings
## Visualize embeddings
```python
print("Embeddings:\n", embeddings_list)
```