Update rag_utils.py

rag_utils.py

@@ -19,8 +19,8 @@ CHUNK_OVERLAP = 200
 TOP_K_CHUNKS = 10  # The final number of chunks to send to the LLM
 # A larger number of initial candidates for reranking
 INITIAL_K_CANDIDATES = 20
-GROQ_MODEL_NAME = "llama3-8b-8192"
-HYDE_MODEL = "llama3-8b-8192"
+GROQ_MODEL_NAME = "meta-llama/Llama-3.1-8B"
+HYDE_MODEL = "meta-llama/Llama-4-Scout-17B-16E-Instruct"
 EMBEDDING_MODEL_NAME = "all-MiniLM-L6-v2"
 
 # --- Hypothetical Document Generation and EmbeddingClient remain unchanged ---