diff --git a/swarms/agents/base.py b/swarms/agents/base.py
index fd67abc2..6c7122d6 100644
--- a/swarms/agents/base.py
+++ b/swarms/agents/base.py
@@ -20,7 +20,7 @@ from swarms.agents.models.prompts.agent_prompt_auto import (
     MessageFormatter,
     PromptConstructor,
 )
-from swarms.agents.models.prompts.prompt_generator import FINISH_NAME
+from swarms.agents.models.prompts.agent_prompt_generator import FINISH_NAME
 from swarms.agents.tools.base import BaseTool
 from swarms.agents.utils.Agent import AgentOutputParser
 from swarms.agents.utils.human_input import HumanInputRun
diff --git a/swarms/agents/models/prompts/prompt_generator.py b/swarms/agents/models/prompts/agent_prompt_generator.py
similarity index 100%
rename from swarms/agents/models/prompts/prompt_generator.py
rename to swarms/agents/models/prompts/agent_prompt_generator.py
diff --git a/swarms/workers/vortex_worker.py b/swarms/workers/vortex_worker.py
index 2c64243b..95293cb4 100644
--- a/swarms/workers/vortex_worker.py
+++ b/swarms/workers/vortex_worker.py
@@ -87,7 +87,7 @@ class VortexWorkerAgent:
         try:
             openai_api_key = self.openai_api_key or os.getenv("OPENAI_API_KEY")
             embeddings_model = OpenAIEmbeddings(openai_api_key=openai_api_key)
-            index = faiss.IndexFlatL2(self.embedding_size)
+            index = faiss.IndexFlatL2(8192)
             return FAISS(embeddings_model, index, InMemoryDocstore({}), {})
         except Exception as error:
             logging.error(f"Failed to initialize vector store: {error}")