• 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 297 files with 62,298 lines of code.
• 7 very long files (15,327 lines of code)
• 32 long files (21,820 lines of code)
• 43 medium size files (14,211 lines of codeclsfd_ftr_w_mp_ins)
• 28 small files (3,954 lines of code)
• 187 very small files (6,986 lines of code)

There are 123 files with lines longer than 120 characters. In total, there are 3940 long lines.

File	# lines	# units	# long lines
ChatGPT_and_Elasticsearch__The_RAG_Really_Tied_the_App_Together.ipynb in supporting-blog-content/rag-ties-the-app-together	5597	-	1328
jsonl fine_tuning_dataset.jsonl in supporting-blog-content/homecraft-vertex/fine-tuning	1000	-	1000
langchain-vector-store-using-elser.ipynb in notebooks/langchain	671	-	144
fetch-surrounding-chunks.ipynb in supporting-blog-content/fetch-surrounding-chunks	1301	-	117
app-search-engine-exporter.ipynb in notebooks/enterprise-search	1011	-	59
esql-getting-started.ipynb in notebooks/esql	1371	-	57
using_autogen_with_elasticsearch_notebook.ipynb in supporting-blog-content/using-autogen-with-elasticsearch	687	-	44
11-semantic-reranking-hugging-face.ipynb in notebooks/search	643	-	42
using_nvidia_nim_with_elasticsearch_vector_store.ipynb in supporting-blog-content/using-nvidia-nim-with-elasticsearch-vector-store	676	-	40
12-semantic-reranking-elastic-rerank.ipynb in notebooks/search	505	-	37
05-query-rules.ipynb in notebooks/search	829	-	36
10-semantic-reranking-retriever-cohere.ipynb in notebooks/search	647	-	35
function-calling.ipynb in notebooks/integrations/openai	580	-	30
09-semantic-text.ipynb in notebooks/search	668	-	30
with-langchain-splitters.ipynb in notebooks/document-chunking	638	-	29
inference-jinaai.ipynb in notebooks/integrations/jinaai	639	-	28
phi3-as-relevance-judge.ipynb in supporting-blog-content/evaluating-search-relevance-part-2	775	-	28
using-openelm-models.ipynb in supporting-blog-content/using-openelm-models	956	-	26
re-ranking-elasticsearch-hosted.ipynb in supporting-blog-content/re-ranking-elasticsearch-hosted	821	-	26
langchain-qa-example.ipynb in notebooks/integrations/amazon-bedrock	371	-	25
03-ELSER.ipynb in notebooks/search	574	-	25
upgrading-index-to-use-elser.ipynb in notebooks/model-upgrades	863	-	24
01-keyword-querying-filtering.ipynb in notebooks/search	950	-	24
openai-KNN-RAG.ipynb in notebooks/integrations/openai	475	-	22
chatbot.ipynb in notebooks/generative-ai	382	-	22
langchain-self-query-retriever.ipynb in notebooks/langchain/self-query-retriever-examples	409	-	21
07-inference.ipynb in notebooks/search	436	-	21
retrieve-and-rerank.ipynb in supporting-blog-content/evaluating-search-relevance-part-1	897	-	21
06-synonyms-api.ipynb in notebooks/search	620	-	20
with-index-pipelines.ipynb in notebooks/document-chunking	556	-	20
ecommerce_dense_sparse_project.ipynb in supporting-blog-content/lexical-and-semantic-search-with-elasticsearch	816	-	20
inference-cohere.ipynb in notebooks/integrations/cohere	460	-	19
inference-alibabacloud-ai-search.ipynb in notebooks/integrations/alibabacloud-ai-search	479	-	19
retrievers_intro_notebook.ipynb in supporting-blog-content/introducing-retrievers	1050	-	19
optimizing-retrieval-with-deepeval.ipynb in supporting-blog-content/optimizing-retrieval-with-deepeval	614	-	19
loading-model-from-hugging-face.ipynb in notebooks/integrations/hugging-face	411	-	17
chatbot-with-bm25-only-example.ipynb in notebooks/langchain/self-query-retriever-examples	425	-	17
chatbot-with-multi-query-retriever.ipynb in notebooks/langchain/multi-query-retriever-examples	297	-	17
app-search-crawler-to-open-crawler-migration.ipynb in notebooks/enterprise-search	387	-	16
configuring-chunking-settings-for-inference-endpoints.ipynb in notebooks/document-chunking	309	-	16
03_average_vector.ipynb in supporting-blog-content/colpali	421	-	16
rag-elastic-llama3-elser.ipynb in notebooks/integrations/llama3	304	-	15
rag-elastic-llama3.ipynb in notebooks/integrations/llama3	300	-	15
elastic-crawler-to-open-crawler-migration.ipynb in notebooks/enterprise-search	576	-	15
image-similarity.ipynb in notebooks/images	715	-	14
using_crewai_with_elasticsearch_notebook.ipynb in supporting-blog-content/using-crewai-with-elasticsearch	539	-	14
chatbot-example.ipynb in notebooks/langchain/self-query-retriever-examples	323	-	13
langchain-multi-query-retriever.ipynb in notebooks/langchain/multi-query-retriever-examples	260	-	13
02-hybrid-search.ipynb in notebooks/search	328	-	13
01-mmrag-blog-quick-start.ipynb in supporting-blog-content/building-multimodal-rag-with-elasticsearch-gotham/notebook	431	-	13