load vector store from azure blob storage

app.py

@@ -33,9 +33,10 @@ def load_from_azure(container_name, local_dir="./index"):
             file.write(container_client.download_blob(blob).readall())
 
 # 1. Download files from Azure
-load_from_azure("your-container-name")
+load_from_azure("blobcontaineravatarbot")
 
 # 2. Load into FAISS
+embeddings="intfloat/e5-base-v2"
 vectorstore = FAISS.load_local("./index", embeddings, allow_dangerous_deserialization=True)
 
 #%% Include a rate limiter