diff --git a/packages/api/src/functions/documents-post.ts b/packages/api/src/functions/documents-post.ts
index 077a5359..a9c189df 100644
--- a/packages/api/src/functions/documents-post.ts
+++ b/packages/api/src/functions/documents-post.ts
@@ -1,4 +1,5 @@
-import { HttpRequest, HttpResponseInit, InvocationContext, app } from '@azure/functions';
+import fs from 'node:fs/promises';
+import { type HttpRequest, type HttpResponseInit, type InvocationContext, app } from '@azure/functions';
 import { AzureOpenAIEmbeddings } from '@langchain/openai';
 import { PDFLoader } from 'langchain/document_loaders/fs/pdf';
 import { RecursiveCharacterTextSplitter } from 'langchain/text_splitter';
@@ -53,8 +54,15 @@ export async function postDocuments(request: HttpRequest, context: InvocationCon
       // If no environment variables are set, it means we are running locally
       context.log('No Azure OpenAI endpoint set, using Ollama models and local DB');
       const embeddings = new OllamaEmbeddings({ model: ollamaEmbeddingsModel });
-      const store = await FaissStore.fromDocuments(documents, embeddings, {});
-      await store.save(faissStoreFolder);
+      const folderExists = await checkFolderExists(faissStoreFolder);
+      if (folderExists) {
+        const store = await FaissStore.load(faissStoreFolder, embeddings);
+        await store.addDocuments(documents);
+        await store.save(faissStoreFolder);
+      } else {
+        const store = await FaissStore.fromDocuments(documents, embeddings, {});
+        await store.save(faissStoreFolder);
+      }
     }
 
     if (storageUrl && containerName) {
@@ -81,6 +89,15 @@ export async function postDocuments(request: HttpRequest, context: InvocationCon
   }
 }
 
+async function checkFolderExists(folderPath: string): Promise<boolean> {
+  try {
+    const stats = await fs.stat(folderPath);
+    return stats.isDirectory();
+  } catch {
+    return false;
+  }
+}
+
 app.http('documents-post', {
   route: 'documents',
   methods: ['POST'],