From ab8c44892b60ec9eaeb6a35b17e7387a7d6ec9f4 Mon Sep 17 00:00:00 2001
From: Vishnu Nandakumar <38393302+Vishnunkumar@users.noreply.github.com>
Date: Fri, 3 May 2024 00:15:58 +0530
Subject: [PATCH 1/2] docs: added docs for using spacy models

---
 docs/embeddings/spacy.md | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 docs/embeddings/spacy.md

diff --git a/docs/embeddings/spacy.md b/docs/embeddings/spacy.md
new file mode 100644
index 0000000..aeec99a
--- /dev/null
+++ b/docs/embeddings/spacy.md
@@ -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```
+
+```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)
+embeddings = ef(["text-1", "text-2"])
+```
\ No newline at end of file

From 56fbdd94ce08eddea8181139cdc53448663b37d0 Mon Sep 17 00:00:00 2001
From: Vishnu Nandakumar <38393302+Vishnunkumar@users.noreply.github.com>
Date: Fri, 3 May 2024 00:17:00 +0530
Subject: [PATCH 2/2] fix: fixed docs for spacy module

---
 docs/embeddings/spacy.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/embeddings/spacy.md b/docs/embeddings/spacy.md
index aeec99a..8a25e67 100644
--- a/docs/embeddings/spacy.md
+++ b/docs/embeddings/spacy.md
@@ -13,6 +13,6 @@ 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)
+ef = embedding_functions.SpacyEmbeddingFunction(model_name="en_core_web_md")
 embeddings = ef(["text-1", "text-2"])
 ```
\ No newline at end of file