diff --git a/.gitignore b/.gitignore
index 7af67c9..54107f3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -21,4 +21,5 @@ npm-debug.log*
 yarn-debug.log*
 yarn-error.log*
 
-.tmp
\ No newline at end of file
+.tmp
+.idea/
diff --git a/docs/embeddings.md b/docs/embeddings.md
index 680efb5..981eb3d 100644
--- a/docs/embeddings.md
+++ b/docs/embeddings.md
@@ -10,17 +10,18 @@ Chroma provides lightweight wrappers around popular embedding providers, making
 
 <div class="special_table"></div>
 
-|              | Python | JS |
-|--------------|-----------|---------------|
-| [OpenAI](/embeddings/openai) | ✅  | ✅ |
-| [Google Generative AI](/embeddings/google-gemini) | ✅  | ✅ |
-| [Cohere](/embeddings/cohere) | ✅  | ✅ |
-| [Google PaLM](/embeddings/google-palm) | ✅  | ➖ |
-| [Hugging Face](/embeddings/hugging-face) | ✅  | ➖ |
-| [Instructor](/embeddings/instructor) | ✅  | ➖ |
-| [Hugging Face Embedding Server](/embeddings/hugging-face-embedding-server) | ✅  | ✅ |
-| [Jina AI](/embeddings/jinaai) | ✅  | ✅ |
-| [Roboflow](/embeddings/roboflow-api) | ✅  | ➖ |
+|                                                                            | Python | JS |
+|----------------------------------------------------------------------------|--------|----|
+| [OpenAI](/embeddings/openai)                                               | ✅      | ✅  |
+| [Google Generative AI](/embeddings/google-gemini)                          | ✅      | ✅  |
+| [Cohere](/embeddings/cohere)                                               | ✅      | ✅  |
+| [Google PaLM](/embeddings/google-palm)                                     | ✅      | ➖  |
+| [Hugging Face](/embeddings/hugging-face)                                   | ✅      | ➖  |
+| [Instructor](/embeddings/instructor)                                       | ✅      | ➖  |
+| [Hugging Face Embedding Server](/embeddings/hugging-face-embedding-server) | ✅      | ✅  |
+| [Jina AI](/embeddings/jinaai)                                              | ✅      | ✅  |
+| [Roboflow](/embeddings/roboflow-api)                                       | ✅      | ➖  |
+| [Cloudflare Workers AI](/embeddings/cloudflare)                            | ✅      | ✅  |
 
 We welcome pull requests to add new Embedding Functions to the community.
 
diff --git a/docs/embeddings/cloudflare.md b/docs/embeddings/cloudflare.md
new file mode 100644
index 0000000..a96f640
--- /dev/null
+++ b/docs/embeddings/cloudflare.md
@@ -0,0 +1,59 @@
+---
+---
+
+# Cloudflare Workers AI
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+<div class="select-language">Select a language</div>
+
+<Tabs queryString groupId="lang">
+<TabItem value="py" label="Python"></TabItem>
+<TabItem value="js" label="JavaScript"></TabItem>
+</Tabs>
+
+Chroma provides a convenient wrapper around Cloudflare Workers AI REST API. This embedding function runs remotely on a Cloudflare Workers AI. It requires an API key and an account Id or gateway endpoint. You can get an API key by signing up for an account at [Cloudflare Workers AI](https://cloudflare.com/).
+
+Visit the [Cloudflare Workers AI documentation](https://developers.cloudflare.com/workers-ai/) for more information on getting started.
+
+:::note
+Currently cloudflare embeddings endpoints allow batches of maximum 100 documents in a single request. The EF has a hard limit of 100 documents per request, and will raise an error if you try to pass more than 100 documents.
+:::
+
+<Tabs queryString groupId="lang" className="hideTabSwitcher">
+<TabItem value="py" label="Python">
+
+```python
+import chromadb.utils.embedding_functions as embedding_functions
+cf_ef = embedding_functions.CloudflareWorkersAIEmbeddingFunction(
+                api_key = "YOUR_API_KEY",
+                account_id = "YOUR_ACCOUNT_ID", # or gateway_endpoint
+                model_name = "@cf/baai/bge-base-en-v1.5",
+            )
+cf_ef(input=["This is my first text to embed", "This is my second document"])
+```
+
+You can pass in an optional `model_name` argument, which lets you choose which Cloudflare Workers AI [model](https://developers.cloudflare.com/workers-ai/models/#text-embeddings) to use. By default, Chroma uses `@cf/baai/bge-base-en-v1.5`.
+
+</TabItem>
+<TabItem value="js" label="JavaScript">
+
+```javascript
+// const {CloudflareWorkersAIEmbeddingFunction} = require('chromadb'); //CJS import
+import {CloudflareWorkersAIEmbeddingFunction}  from "chromadb"; //ESM import
+const embedder = new CloudflareWorkersAIEmbeddingFunction({
+    apiToken: 'YOUR_API_KEY',
+    accountId: "YOUR_ACCOUNT_ID", // or gatewayEndpoint
+    model: '@cf/baai/bge-base-en-v1.5',
+});
+
+// use directly
+const embeddings = embedder.generate(['document1', 'document2']);
+
+// pass documents to query for .add and .query
+const collection = await client.createCollection({name: "name", embeddingFunction: embedder})
+const collectionGet = await client.getCollection({name:"name", embeddingFunction: embedder})
+```
+</TabItem>
+</Tabs>
diff --git a/sidebars.js b/sidebars.js
index 0f613ab..457ddda 100644
--- a/sidebars.js
+++ b/sidebars.js
@@ -95,6 +95,7 @@ const sidebars = {
         'embeddings/roboflow-api',
         'embeddings/hugging-face-embedding-server',
         'embeddings/jinaai',
+        'embeddings/cloudflare',
       ],
     },
   ],