added rag parameters to .env.example

Author: Qsan1

.env.example

@@ -20,4 +20,14 @@ llm.model='gpt-3.5-turbo'
 llm.context_size=16385
 
 # how many rounds should this thing go?
-max_turns = 20
+max_turns = 20
+
+# The following four parameters are only relevant for the usecase rag
+# rag_database_folder_name: Name of the folder where the vector store will be saved.
+# rag_embedding: The name of the embedding model used. Currently only OpenAI api supported.
+# openai_api_key: API key that is used for the embedding model.
+# rag_return_token_limit: The upper bound for the RAG output.
+rag_database_folder_name = "vetorDB"
+rag_embedding = "text-embedding-3-small"
+openai_api_key = 'your-openai-key'
+rag_return_token_limit = 1000