# Project and environment settings project_id: "" location: "" # Data and storage settings data_path: "{base_path}/data/data" input_bucket_name: "ken-rag-datasets" docstore_bucket_name: "ken-rag-datasets" bucket_prefix: "raw_pdfs/" vector_data_prefix: "vector_data" rag_eval_dataset: "ken-rag-datasets" firestore_db_name: "rag-docstore" firestore_namespace: "hierarchical_docs" # Index settings index_id: "llamaindex_rag" vector_index_name: "google_hierarchical" index_endpoint_name: "hierarchical_endpoint" indexing_method: "hierarchical" qa_index_name: "google_qa" qa_endpoint_name: "hierarchical_endpoint" # Chunking and embedding settings chunk_sizes: [4096, 2048, 1024, 512] chunk_size: 512 chunk_overlap: 50 embeddings_model_name: "text-embedding-005" approximate_neighbors_count: 100 # Document AI settings docai_location: "us" docai_processor_id: "f1713ecadbbf91ab" document_ai_processor_display_name: "layout-parser" create_docai_processor: false # Authentication service_account_key: "llamaindex-rag" # API settings fastapi_url: "http://localhost:8033" # UI settings streamlit_host: "0.0.0.0" streamlit_port: 8080