Merge pull request #2395 from Amrit75/issue-2394

issue-2394: use deployment variable instead of model for embeddings API call

lightrag/llm/azure_openai.py

@@ -172,6 +172,6 @@ async def azure_openai_embed(
     )
 
     response = await openai_async_client.embeddings.create(
-        model=model, input=texts, encoding_format="float"
+        model=deployment, input=texts, encoding_format="float"
     )
     return np.array([dp.embedding for dp in response.data])