• File size measurements show the distribution of size of files.
• Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
• It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

• There are 652 files with 238,628 lines of code.
• 80 very long files (108,371 lines of code)
• 124 long files (92,456 lines of code)
• 56 medium size files (18,304 lines of codeclsfd_ftr_w_mp_ins)
• 59 small files (8,164 lines of code)
• 333 very small files (11,333 lines of code)

There are 294 files with lines longer than 120 characters. In total, there are 11257 long lines.

File	# lines	# units	# long lines
llamaindex_rag.ipynb in gemini/use-cases/retrieval-augmented-generation	1462	-	183
intro-textemb-vectorsearch.ipynb in embeddings	1225	-	137
ai_agents_for_engineers.ipynb in workshops/ai-agents	1664	-	115
evaluate_videos_with_gecko.ipynb in gemini/evaluation	1328	-	112
evaluate_images_with_gecko.ipynb in gemini/evaluation	1248	-	112
building_DIY_multimodal_qa_system_with_mRAG.ipynb in workshops/qa-ops	1710	-	111
intro_diy_react_agent.ipynb in gemini/function-calling	1543	-	111
retail_warranty_claim_chatbot.ipynb in gemini/use-cases/retrieval-augmented-generation	1641	-	106
real_time_rag_retail_gemini_2_0.ipynb in gemini/multimodal-live-api	1833	-	103
vertex_ai_prompt_optimizer_sdk_custom_metric.ipynb in gemini/prompts/prompt_optimizer	1481	-	99
vertex_ai_prompt_optimizer_sdk_tool_calling.ipynb in gemini/prompts/prompt_optimizer	1467	-	96
intro_gemini_2_0_flash.ipynb in gemini/getting-started	1504	-	96
intro_gemini_2_5_flash.ipynb in gemini/getting-started	1614	-	91
intro_multimodal_rag.ipynb in gemini/use-cases/retrieval-augmented-generation	1387	-	89
vertex_ai_tgi_evaluate_llm_with_open_judge.ipynb in open-models/evaluation	1104	-	87
diarized_transcription_and_summarization.ipynb in gemini/use-cases/diarized-transcription-summarization	939	-	86
tutorial_ag2_on_agent_engine.ipynb in gemini/agent-engine	881	-	86
intro_gemini_2_5_pro.ipynb in gemini/getting-started	1494	-	85
gemini_prompt_attacks_mitigation_examples.ipynb in gemini/responsible-ai	2306	-	83
vertex_ai_pytorch_inference_paligemma_with_custom_handler.ipynb in open-models/serving	1384	-	79
migration_guide_preview_to_GA_sdk.ipynb in gemini/evaluation	900	-	78
intro_langchain_gemini.ipynb in gemini/orchestration	1476	-	78
intro_Vertex_AI_embeddings.ipynb in workshops/qa-ops	1675	-	75
vertex_ai_text_generation_inference_gemma.ipynb in open-models/serving	884	-	75
vertex_ai_tgi_gemma_multi_lora_adapters_deployment.ipynb in open-models/serving	1537	-	75
hybrid-search.ipynb in embeddings	1121	-	75
intro_gemini_express.ipynb in gemini/getting-started	1283	-	75
parsing_and_chunking_with_BYO.ipynb in search/vais-building-blocks	1478	-	74
langgraph_gemini_podcast.ipynb in gemini/orchestration	1142	-	74
task-type-embedding.ipynb in embeddings	990	-	73
real_time_rag_bank_loans_gemini_2_0.ipynb in gemini/multimodal-live-api	1806	-	73
use_case_company_news_and_insights.ipynb in gemini/function-calling	942	-	73
multimodal_function_calling.ipynb in gemini/function-calling	1279	-	73
vertex_ai_deepseek_smolagents.ipynb in open-models/use-cases	1498	-	71
vertex_ai_trl_fine_tuning_gemma.ipynb in open-models/fine-tuning	754	-	70
vertex_ai_prompt_optimizer_sdk_long_prompt_optimization.ipynb in gemini/prompts/prompt_optimizer	1141	-	70
intro_gemini_2_0_flash_lite.ipynb in gemini/getting-started	1252	-	70
intro-grounding-gemini.ipynb in gemini/grounding	958	-	69
custom_attributes_by_url_pattern.ipynb in search/vais-building-blocks	918	-	67
ingesting_unstructured_documents_with_metadata.ipynb in search/vais-building-blocks	1349	-	67
intro_agent_engine.ipynb in gemini/agent-engine	831	-	67
inline_ingestion_of_documents.ipynb in search/vais-building-blocks	1124	-	66
vertex_ai_pytorch_inference_pllum_with_custom_handler.ipynb in open-models/serving	1287	-	65
vertex_ai_ollama_gemma2_rag_agent.ipynb in open-models/serving	1645	-	65
tutorial_mcp_toolbox_for_databases.ipynb in gemini/agent-engine	1583	-	65
vertex_ai_prompt_optimizer_sdk.ipynb in gemini/prompts/prompt_optimizer	1281	-	64
sft_gemini_summarization.ipynb in gemini/tuning	1683	-	64
document_processing.ipynb in gemini/use-cases/document-processing	1280	-	63
evaluating_langgraph_agent_engine_customized_template.ipynb in gemini/agent-engine	1694	-	63
evaluating_langchain_agent_engine_prebuilt_template.ipynb in gemini/agent-engine	1531	-	63