diff --git a/clients/new-js/packages/ai-embeddings/openai/src/index.ts b/clients/new-js/packages/ai-embeddings/openai/src/index.ts
index 6c76109de73..0530a8ac7d6 100644
--- a/clients/new-js/packages/ai-embeddings/openai/src/index.ts
+++ b/clients/new-js/packages/ai-embeddings/openai/src/index.ts
@@ -5,6 +5,7 @@ import {
   registerEmbeddingFunction,
 } from "chromadb";
 import OpenAI from "openai";
+import type { ClientOptions } from 'openai';
 import { validateConfigSchema } from "@chroma-core/ai-embeddings-common";
 
 const NAME = "openai";
@@ -14,6 +15,7 @@ export interface OpenAIConfig {
   model_name: string;
   organization_id?: string;
   dimensions?: number;
+  api_base?: string;
 }
 
 export interface OpenAIArgs {
@@ -22,6 +24,7 @@ export interface OpenAIArgs {
   organizationId?: string;
   dimensions?: number;
   apiKey?: string;
+  apiBase?: string;
 }
 
 export class OpenAIEmbeddingFunction implements EmbeddingFunction {
@@ -30,6 +33,7 @@ export class OpenAIEmbeddingFunction implements EmbeddingFunction {
   private readonly modelName: string;
   private readonly dimensions: number | undefined;
   private readonly organizationId: string | undefined;
+  private readonly apiBase: string | undefined;
   private client: OpenAI;
 
   constructor(args: OpenAIArgs) {
@@ -38,6 +42,7 @@ export class OpenAIEmbeddingFunction implements EmbeddingFunction {
       modelName,
       dimensions,
       organizationId,
+      apiBase,
     } = args;
 
     const apiKey = args.apiKey || process.env[apiKeyEnvVar];
@@ -51,8 +56,11 @@ export class OpenAIEmbeddingFunction implements EmbeddingFunction {
     this.organizationId = organizationId;
     this.apiKeyEnvVar = apiKeyEnvVar;
     this.dimensions = dimensions;
+    this.apiBase = apiBase;
 
-    this.client = new OpenAI({ apiKey, organization: this.organizationId });
+    let clientConfig: ClientOptions = { apiKey, organization: this.organizationId };
+    if (this.apiBase) clientConfig.baseURL = this.apiBase;
+    this.client = new OpenAI(clientConfig);
   }
 
   public async generate(texts: string[]): Promise<number[][]> {
@@ -78,6 +86,7 @@ export class OpenAIEmbeddingFunction implements EmbeddingFunction {
       modelName: config.model_name,
       organizationId: config.organization_id,
       dimensions: config.dimensions,
+      apiBase: config.api_base,
     });
   }
 
@@ -87,6 +96,7 @@ export class OpenAIEmbeddingFunction implements EmbeddingFunction {
       model_name: this.modelName,
       organization_id: this.organizationId,
       dimensions: this.dimensions,
+      api_base: this.apiBase,
     };
   }
 
diff --git a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md
index 4a74ee0956a..4efb986690b 100644
--- a/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md
+++ b/docs/docs.trychroma.com/markdoc/content/integrations/embedding-models/openai.md
@@ -76,6 +76,18 @@ collection = await client.getCollection({
 });
 ```
 
+To use the OpenAI embedding models on other platforms such as GitHub AI Models, you can use the `apiBase` parameter:
+```typescript
+import { OpenAIEmbeddingFunction } from "@chroma-core/openai";
+
+const embeddingFunction = new OpenAIEmbeddingFunction({
+  apiKey: "apiKey",
+  apiBase: "https://models.github.ai/inference",
+  modelName: "text-embedding-3-small",
+});
+```
+
+
 {% /Tab %}
 
 {% /Tabs %}