diff --git a/tests/test_load_archival.py b/tests/test_load_archival.py
index f8265ec9..ef260c10 100644
--- a/tests/test_load_archival.py
+++ b/tests/test_load_archival.py
@@ -112,75 +112,6 @@ def test_chroma():
     )
 
 
-def test_postgres():
-    # override config path with enviornment variable
-    # TODO: make into temporary file
-    os.environ["MEMGPT_CONFIG_PATH"] = "/Users/sarahwooders/repos/MemGPT/test_config.cfg"
-    print("env", os.getenv("MEMGPT_CONFIG_PATH"))
-    config = memgpt.config.MemGPTConfig(archival_storage_type="postgres", config_path=os.getenv("MEMGPT_CONFIG_PATH"))
-    print(config)
-    config.save()
-    # exit()
-
-    name = "tmp_hf_dataset2"
-
-    dataset = load_dataset("MemGPT/example_short_stories")
-
-    cache_dir = os.getenv("HF_DATASETS_CACHE")
-    if cache_dir is None:
-        # Construct the default path if the environment variable is not set.
-        cache_dir = os.path.join(os.path.expanduser("~"), ".cache", "huggingface", "datasets")
-
-    load_directory(
-        name=name,
-        input_dir=cache_dir,
-        recursive=True,
-    )
-
-
-def test_chroma():
-    import chromadb
-
-    # override config path with enviornment variable
-    # TODO: make into temporary file
-    os.environ["MEMGPT_CONFIG_PATH"] = "/Users/sarahwooders/repos/MemGPT/test_config.cfg"
-    print("env", os.getenv("MEMGPT_CONFIG_PATH"))
-    config = memgpt.config.MemGPTConfig(archival_storage_type="chroma", config_path=os.getenv("MEMGPT_CONFIG_PATH"))
-    print(config)
-    config.save()
-    # exit()
-
-    name = "tmp_hf_dataset"
-
-    dataset = load_dataset("MemGPT/example_short_stories")
-
-    cache_dir = os.getenv("HF_DATASETS_CACHE")
-    if cache_dir is None:
-        # Construct the default path if the environment variable is not set.
-        cache_dir = os.path.join(os.path.expanduser("~"), ".cache", "huggingface", "datasets")
-
-    config = memgpt.config.MemGPTConfig(archival_storage_type="chroma")
-
-    load_directory(
-        name=name,
-        input_dir=cache_dir,
-        recursive=True,
-    )
-
-    # index = memgpt.embeddings.Index(name)
-
-    ## query chroma
-    ##chroma_client = chromadb.Client()
-    # chroma_client = chromadb.PersistentClient(path="/Users/sarahwooders/repos/MemGPT/chromadb")
-    # collection = chroma_client.get_collection(name=name)
-    # results = collection.query(
-    #    query_texts=["cinderella be getting sick"],
-    #    n_results=2
-    # )
-    # print(results)
-    # assert len(results) == 2, f"Expected 2 results, but got {len(results)}"
-
-
 def test_load_directory():
     return
     # downloading hugging face dataset (if does not exist)