diff --git a/src/Embeddings Search/dataset.py b/src/Embeddings Search/dataset.py
index 336c1ad..7b5618f 100644
--- a/src/Embeddings Search/dataset.py	
+++ b/src/Embeddings Search/dataset.py	
@@ -1,9 +1,7 @@
 import jsonlines
 import numpy as np
 from typing import List, Dict, Tuple
-import re
 import time
-import random
 import pickle
 import openai
 from tenacity import (
@@ -13,22 +11,12 @@ from tenacity import (
 )  # for exponential backoff
 
 import config
-
 from text_splitter import TextSplitter, split_into_sentences
+from settings import PATH_TO_DATA, PATH_TO_EMBEDDINGS, PATH_TO_DATASET, EMBEDDING_MODEL
 
 
-LEN_EMBEDDINGS = 1536
-PATH_TO_DATA = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\alignment_texts.jsonl"
-PATH_TO_EMBEDDINGS = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\embeddings.npy"
-PATH_TO_DATASET = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\dataset.pkl"
-
-COMPLETIONS_MODEL = "text-davinci-003"
-EMBEDDING_MODEL = "text-embedding-ada-002"
-
 openai.api_key = config.OPENAI_API_KEY
 
-MAX_LEN_PROMPT = 5000
-
 error_count_dict = {
     "Entry has no source.": 0,
     "Entry has no title.": 0,
diff --git a/src/Embeddings Search/main.py b/src/Embeddings Search/main.py
index d6c8e40..9e44f33 100644
--- a/src/Embeddings Search/main.py	
+++ b/src/Embeddings Search/main.py	
@@ -1,37 +1,13 @@
-import jsonlines
 import numpy as np
-from typing import List, Dict, Tuple
-import re
-import time
-import random
 import pickle
 import openai
-from tenacity import (
-    retry,
-    stop_after_attempt,
-    wait_random_exponential,
-)  # for exponential backoff
 
 import config
-
-from dataset import Dataset
 from semantic_search import AlignmentSearch
-
-from settings import DATA_PATH
-
-
-LEN_EMBEDDINGS = 1536
-PATH_TO_DATA = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\alignment_texts.jsonl"
-PATH_TO_EMBEDDINGS = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\embeddings.npy"
-PATH_TO_DATASET = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\dataset.pkl"
-
-COMPLETIONS_MODEL = "text-davinci-003"
-EMBEDDING_MODEL = "text-embedding-ada-002"
+from settings import PATH_TO_DATASET
 
 openai.api_key = config.OPENAI_API_KEY
 
-MAX_LEN_PROMPT = 5000
-
 
 def main():
     with open(PATH_TO_DATASET, 'rb') as f:
diff --git a/src/Embeddings Search/semantic_search.py b/src/Embeddings Search/semantic_search.py
index 3d1db9e..5aedc09 100644
--- a/src/Embeddings Search/semantic_search.py	
+++ b/src/Embeddings Search/semantic_search.py	
@@ -1,9 +1,5 @@
-import jsonlines
 import numpy as np
-from typing import List, Dict, Tuple
-import re
-import time
-import random
+from typing import List, Tuple
 import pickle
 import openai
 from tenacity import (
@@ -11,23 +7,13 @@ from tenacity import (
     stop_after_attempt,
     wait_random_exponential,
 )  # for exponential backoff
-from dataset import Dataset
 
 import config
-
-
-LEN_EMBEDDINGS = 1536
-PATH_TO_DATA = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\alignment_texts.jsonl"
-PATH_TO_EMBEDDINGS = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\embeddings.npy"
-PATH_TO_DATASET = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\dataset.pkl"
-
-COMPLETIONS_MODEL = "text-davinci-003"
-EMBEDDING_MODEL = "text-embedding-ada-002"
+from dataset import Dataset
+from settings import PATH_TO_DATASET, EMBEDDING_MODEL, COMPLETIONS_MODEL, MAX_LEN_PROMPT
 
 openai.api_key = config.OPENAI_API_KEY
 
-MAX_LEN_PROMPT = 5000
-
 
 class AlignmentSearch:
     def __init__(self,
diff --git a/src/Embeddings Search/settings.py b/src/Embeddings Search/settings.py
index e3fad0d..2d9a53b 100644
--- a/src/Embeddings Search/settings.py	
+++ b/src/Embeddings Search/settings.py	
@@ -2,6 +2,8 @@ EMBEDDING_MODEL = "text-embedding-ada-002"
 COMPLETIONS_MODEL = "text-davinci-003"
 
 LEN_EMBEDDINGS = 1536
-MAX_LEN_PROMPT = 5000
+MAX_LEN_PROMPT = 8191
 
-DATA_PATH = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\data\alignment_texts.jsonl" # Path to the dataset .jsonl file.
\ No newline at end of file
+PATH_TO_DATA = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\data\alignment_texts.jsonl" # Path to the dataset .jsonl file.
+PATH_TO_EMBEDDINGS = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\embeddings.npy" # Path to the saved embeddings (.npy) file.
+PATH_TO_DATASET = r"C:\Users\Henri\Documents\GitHub\AlignmentSearch\src\Embeddings Search\data\dataset.pkl" # Path to the saved dataset (.pkl) file.