updated source rag

backend/rag.py

@@ -56,12 +56,12 @@ logger = logging.getLogger(__name__)
 
 class Settings(BaseSettings):
     # Parquet + Whoosh/FAISS
-    parquet_path: str = "gs://mda_eu_project/data/consolidated_clean_pred.parquet"
-    whoosh_dir:    str = "gs://mda_eu_project/whoosh_index"
-    vectorstore_path: str = "gs://mda_eu_project/vectorstore_index"
+    parquet_path: str = "gs://mda_kul_project/data/consolidated_clean_pred.parquet"
+    whoosh_dir:    str = "gs://mda_kul_project/whoosh_index"
+    vectorstore_path: str = "gs://mda_kul_project/vectorstore_index"
     # Models
     embedding_model:     str = "sentence-transformers/LaBSE"
-    llm_model:           str = "google/flan-t5-base"
+    llm_model:           str = "google/flmt5-base"
     cross_encoder_model: str = "cross-encoder/mmarco-mMiniLMv2-L12-H384-v1"
     # RAG parameters
     chunk_size:    int = 750