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docs(spacy-embeddings): added docs for spacy embeddings. #2184

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docs(spacy-embeddings): added docs for spacy embeddings. #2184

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afed779
feat: added docs for spacy embeddings.
Vishnunkumar May 13, 2024
3eb9a29
Merge branch 'chroma-core:main' into spacy-embedding-docs
Vishnunkumar May 15, 2024
7910402
docs: added spacy in index.md
Vishnunkumar May 15, 2024
cd0f86e
docs: fixed md on spacy.md
Vishnunkumar May 15, 2024
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1 change: 1 addition & 0 deletions docs/docs.trychroma.com/pages/integrations/_sidenav.js
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Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,7 @@ export const items = [
{ href: '/integrations/jinaai', children: 'JinaAI' },
{ href: '/integrations/roboflow', children: 'Roboflow' },
{ href: '/integrations/ollama', children: 'Ollama Embeddings' },
{ href: '/integrations/spacy', children: 'Spacy Embeddings' }
]
},
{
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18 changes: 18 additions & 0 deletions docs/docs.trychroma.com/pages/integrations/spacy.md
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@@ -0,0 +1,18 @@
---
---

# spaCy

Pre-trained embeddings that are available from [spaCy](https://spacy.io/models/) can be used for encoding text into vectors. They are fast, robust and good alternative for a lot of language models. To use spacy models in embedding function we have to install spacy module and also download a model of our choice. Please use the below snippet to install and download a model of our choice.

```pip install spacy```
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maybe add this in a bash block for better readability.

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@Vishnunkumar Vishnunkumar May 17, 2024 •
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Resolved changes, let me know if any resolutions are required.


```spacy download model_name```

For the list models please visit: [spacy-models](https://spacy.io/models/)

```python
import chromadb.utils.embedding_functions as embedding_functions
ef = embedding_functions.SpacyEmbeddingFunction(model_name="en_core_web_md")
embeddings = ef(["text-1", "text-2"])
```
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