diff --git a/bootstraprag/templates/llamaindex/simple_rag/test_set_generator.py b/bootstraprag/templates/llamaindex/simple_rag/test_set_generator.py
deleted file mode 100644
index d3a7f5a..0000000
--- a/bootstraprag/templates/llamaindex/simple_rag/test_set_generator.py
+++ /dev/null
@@ -1,48 +0,0 @@
-from llama_index.core import SimpleDirectoryReader
-from ragas.testset.generator import TestsetGenerator
-from ragas.testset.evolutions import simple, reasoning, multi_context
-from llama_index.llms.ollama import Ollama
-from llama_index.llms.openai import OpenAI
-from llama_index.embeddings.ollama import OllamaEmbedding
-from llama_index.embeddings.openai import OpenAIEmbedding
-from dotenv import load_dotenv, find_dotenv
-import logging
-import os
-
-_ = load_dotenv(find_dotenv())
-logging.basicConfig(level=int(os.environ['INFO']))
-logger = logging.getLogger(__name__)
-
-
-class TestSetGenerator:
-    def __init__(self):
-        # generator with ollama models
-        # generator_llm = Ollama(model=os.environ.get('OLLAMA_LLM_MODEL'), request_timeout=300)
-        # critic_llm = Ollama(model=os.environ.get('OLLAMA_LLM_MODEL'), request_timeout=300)
-        # embeddings = OllamaEmbedding(model_name=os.environ.get('OLLAMA_EMBED_MODEL'), request_timeout=300)
-
-        # generator with openai models
-        generator_llm = OpenAI(model=os.environ.get('OPENAI_MODEL'), timeout=300)
-        critic_llm = OpenAI(model=os.environ.get('OPENAI_MODEL'), timeout=300)
-        embeddings = OpenAIEmbedding(model=os.environ.get('OPENAI_EMBED_MODEL'), timeout=300)
-
-        self.generator = TestsetGenerator.from_llama_index(
-            generator_llm=generator_llm,
-            critic_llm=critic_llm,
-            embeddings=embeddings,
-        )
-
-    def generate_test_set(self, input_dir, test_size: int = 5, simple_dist: float = 0.5, reasoning_dist: float = 0.25,
-                          multi_context_dist: float = 0.25, show_progress: bool = True):
-        logger.info('loading docs..')
-        _docs = SimpleDirectoryReader(input_dir=input_dir).load_data(show_progress=show_progress)
-        # generate test set
-        logger.info('test set generation started..')
-        test_set = self.generator.generate_with_llamaindex_docs(
-            documents=_docs,
-            test_size=test_size,
-            distributions={simple: simple_dist, reasoning: reasoning_dist, multi_context: multi_context_dist},
-        )
-        logger.info('test set generation ended..filename: testset.csv')
-        df = test_set.to_pandas()
-        df.to_csv(filename="testset.csv")