diff --git a/src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/embeddings/vector_db.py b/src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/embeddings/vector_db.py
index ff2e154..8c99396 100644
--- a/src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/embeddings/vector_db.py
+++ b/src/infra/lambdas/RSSFeedProcessorLambda/src/analytics/embeddings/vector_db.py
@@ -1,11 +1,7 @@
-from pinecone import Pinecone
-
-
 import os
-from dotenv import load_dotenv
-from openai import OpenAI
 
-load_dotenv()
+from pinecone import Pinecone
+from openai import OpenAI
 
 # Set up Pinecone client
 api_key = os.getenv("PINCEONE_API_KEY")
diff --git a/src/infra/lambdas/RSSFeedProcessorLambda/src/data_storage.py b/src/infra/lambdas/RSSFeedProcessorLambda/src/data_storage.py
index 1cbda8f..739165b 100644
--- a/src/infra/lambdas/RSSFeedProcessorLambda/src/data_storage.py
+++ b/src/infra/lambdas/RSSFeedProcessorLambda/src/data_storage.py
@@ -6,7 +6,7 @@ from random import randint
 
 # TODO: Move this article storage logic to a separate module inside of lambda. 
 # TODO: Get better at handling loading local moduels insdie of the lambdda. 
-from infra.lambdas.RSSFeedProcessorLambda.src.analytics.embeddings.vector_db import get_index, upsert_vectors, vectorize
+from analytics.embeddings.vector_db import get_index, upsert_vectors, vectorize
 
 logger = logging.getLogger()
 
diff --git a/src/infra/lambdas/lambda_utils/update_lambda_env_vars.py b/src/infra/lambdas/lambda_utils/update_lambda_env_vars.py
index 4f864d1..c1d5e8f 100644
--- a/src/infra/lambdas/lambda_utils/update_lambda_env_vars.py
+++ b/src/infra/lambdas/lambda_utils/update_lambda_env_vars.py
@@ -14,7 +14,13 @@ def update_env_vars(function_name):
         'S3_BUCKET_NAME': os.environ.get('S3_BUCKET_NAME'),
         'DYNAMODB_TABLE_NAME': os.environ.get('DYNAMODB_TABLE_NAME'),
         'LOG_LEVEL': os.environ.get('LOG_LEVEL', 'INFO'),
-        'STORAGE_STRATEGY': os.environ.get('STORAGE_STRATEGY')
+        'STORAGE_STRATEGY': os.environ.get('STORAGE_STRATEGY'),
+        'PINECONE_API_KEY': os.environ.get('PINECONE_API_KEY'),
+        'PINECONE_SHARDS': os.environ.get('PINECONE_SHARDS'),
+        'VECTOR_EMBEDDING_MODEL': os.environ.get('VECTOR_EMBEDDING_MODEL'),
+        'VECTOR_EMBEDDING_DIM': os.environ.get('VECTOR_EMBEDDING_DIM'),
+        'VECTOR_SEARCH_METRIC': os.environ.get('VECTOR_SEARCH_METRIC'),
+        'PINECONE_DB_NAME': os.environ.get('PINECONE_DB_NAME')
     }
     
     return lambda_client.update_function_configuration(