troubleshooting vectorstore stuff

app.py

@@ -61,9 +61,9 @@ hf_embeddings = HuggingFaceEndpointEmbeddings(
 
 ### 4. INDEX FILES
 ### NOTE: REMEMBER TO BATCH THE DOCUMENTS WITH MAXIMUM BATCH SIZE = 32
-if os.path.exists("./data/vectorstore"):
+if os.path.exists(VECTORSTORE_PATH):
     vectorstore = FAISS.load_local(
-        "./data/vectorstore", 
+        VECTORSTORE_DIR,#"./data/vectorstore", 
         hf_embeddings, 
         allow_dangerous_deserialization=True # this is necessary to load the vectorstore from disk as it's stored as a `.pkl` file.
     )
@@ -71,13 +71,13 @@ if os.path.exists("./data/vectorstore"):
     print("Loaded Vectorstore")
 else:
     print("Indexing Files")
-    os.makedirs("./data/vectorstore", exist_ok=True)
-    for i in range(0, len(split_documents), 32):
+    os.makedirs(VECTORSTORE_DIR, exist_ok=True)
+    for i in range(0, len(split_chunks), 32):
         if i == 0:
-            vectorstore = FAISS.from_documents(split_documents[i:i+32], hf_embeddings)
+            vectorstore = FAISS.from_documents(split_chunks[i:i+32], hf_embeddings)
             continue
-        vectorstore.add_documents(split_documents[i:i+32])
-    vectorstore.save_local("./data/vectorstore")
+        vectorstore.add_documents(split_chunks[i:i+32])
+    vectorstore.save_local(VECTORSTORE_DIR)
 
 hf_retriever = vectorstore.as_retriever()