diff --git a/embedchain/app.py b/embedchain/app.py
index e6f65c46..f2355b3d 100644
--- a/embedchain/app.py
+++ b/embedchain/app.py
@@ -381,6 +381,10 @@ class App(EmbedChain):
         vector_db = VectorDBFactory.create(vector_db_provider, vector_db_config_data.get("config", {}))
 
         if llm_config_data:
+            # Initialize the metadata db for the app here since llmfactory needs it for initialization of
+            # the llm memory
+            setup_engine(database_uri=os.environ.get("EMBEDCHAIN_DB_URI"))
+            init_db()
             llm_provider = llm_config_data.get("provider", "openai")
             llm = LlmFactory.create(llm_provider, llm_config_data.get("config", {}))
         else:
diff --git a/pyproject.toml b/pyproject.toml
index 737fb8fe..da49da99 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "embedchain"
-version = "0.1.83"
+version = "0.1.84"
 description = "Simplest open source retrieval(RAG) framework"
 authors = [
     "Taranjeet Singh <taranjeet@embedchain.ai>",