Create setup.py

setup.py

@@ -0,0 +1,11 @@
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
+from langchain_community.vectorstores import Chroma
+
+# Using Google GenAI Text Embeddings  
+embedding_model = GoogleGenerativeAIEmbeddings(model="models/embedding-001", task_type="retrieval_document", google_api_key=GEMINI_API_KEY)
+
+# Create Embeddings for Searching the Splits
+persist_directory = './chroma/'
+        
+vectordb = Chroma.from_documents(documents=splits, persist_directory=persist_directory, embedding=embedding_model)
+vectordb.persist()