[DOCS]: Added docs for using spacy models in embedding functions

docs/embeddings/spacy.md

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+---
+---
+
+# 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```
+
+```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"])
+```