diff --git a/scripts/memory/base.py b/scripts/memory/base.py
index e3924d7e0..a0b3f25fc 100644
--- a/scripts/memory/base.py
+++ b/scripts/memory/base.py
@@ -3,6 +3,7 @@ import abc
 from config import AbstractSingleton, Config
 import openai
 
+# try to import sentence transformers, if it fails, default to ada
 try:
     from sentence_transformers import SentenceTransformer
 except ImportError:
@@ -18,6 +19,7 @@ cfg = Config()
 def get_embedding(text):
     text = text.replace("\n", " ")
 
+    # use the embeder specified in the config
     if cfg.memory_embeder == "sbert":
         embedding = SentenceTransformer("sentence-transformers/all-mpnet-base-v2", device="cpu").encode(text, show_progress_bar=False)
     else:
diff --git a/scripts/memory/local.py b/scripts/memory/local.py
index 40a08f66b..728723cbd 100644
--- a/scripts/memory/local.py
+++ b/scripts/memory/local.py
@@ -6,8 +6,10 @@ import os
 from memory.base import MemoryProviderSingleton, get_embedding
 from config import Config 
 
+# TODO: get the embeddings dimension without importing config
 cfg = Config()
 
+# set the embedding dimension based on the embeder
 EMBED_DIM = 1536 if cfg.memory_embeder == "ada" else 768
 SAVE_OPTIONS = orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_SERIALIZE_DATACLASS
 
diff --git a/scripts/memory/pinecone.py b/scripts/memory/pinecone.py
index b3aab33ab..e8a713162 100644
--- a/scripts/memory/pinecone.py
+++ b/scripts/memory/pinecone.py
@@ -10,6 +10,7 @@ class PineconeMemory(MemoryProviderSingleton):
         pinecone_api_key = cfg.pinecone_api_key
         pinecone_region = cfg.pinecone_region
         pinecone.init(api_key=pinecone_api_key, environment=pinecone_region)
+        # set the embedding dimension based on the embeder
         dimension = 1536 if cfg.memory_embeder == "ada" else 768
         metric = "cosine"
         pod_type = "p1"
diff --git a/scripts/memory/redismem.py b/scripts/memory/redismem.py
index 8f3258357..3da528279 100644
--- a/scripts/memory/redismem.py
+++ b/scripts/memory/redismem.py
@@ -11,8 +11,10 @@ from logger import logger
 from colorama import Fore, Style
 from config import Config 
 
+# TODO: get the embeddings dimension without importing config
 cfg = Config()
 
+# set the embedding dimension based on the embeder
 EMBED_DIM = 1536 if cfg.memory_embeder == "ada" else 768
 
 SCHEMA = [