[DEPRECATED] Build LangChain Applications using Vertex AI: Challenge Lab Reviews

SHIVANK U. · Reviewed about 1 year ago

YERRAM A. · Reviewed about 1 year ago

Maurizio . · Reviewed about 1 year ago

He H. · Reviewed about 1 year ago

Alan J. · Reviewed about 1 year ago

Salman A. · Reviewed about 1 year ago

Vikas S. · Reviewed about 1 year ago

Michal R. · Reviewed about 1 year ago

S Narendra D. · Reviewed about 1 year ago

PADMA M. · Reviewed about 1 year ago

Ashish W. · Reviewed about 1 year ago

Muhammad H. · Reviewed about 1 year ago

Lakshit J. · Reviewed about 1 year ago

Working by marcodelmart.com

Marco Flavio D. · Reviewed about 1 year ago

Thanks

El H. · Reviewed about 1 year ago

jupyter labs keep locking up and it took almost to the end of the timer to get this to finish

Joey G. · Reviewed about 1 year ago

Seakingretsu G. · Reviewed about 1 year ago

Raghu D. · Reviewed about 1 year ago

Task 2 Sose not work with; text_splitter = INSERT_CLASSNAME(chunk_size=10000, chunk_overlap=1000) docs = text_splitter.INSERT_METHOD_NAME(documents) print(f"# of documents = {len(docs)}") instead need to use text_splitter = RecursiveCharacterTextSplitter(chunk_size=10000, chunk_overlap=1000) # Assuming 'documents' contains Document objects, extract the text content text_contents = [doc.page_content for doc in documents if hasattr(doc, 'page_content')] # Split each document's text into smaller chunks docs = [] for text in text_contents: split_docs = text_splitter.create_documents([text]) # Split each document separately docs.extend(split_docs) print(f"# of documents = {len(docs)}")

Yoha G. · Reviewed about 1 year ago

Carlos G. · Reviewed about 1 year ago

Malvika V. · Reviewed about 1 year ago

Sameer D. · Reviewed about 1 year ago

vaibhav s. · Reviewed about 1 year ago

Saish B. · Reviewed about 1 year ago

Jacek S. · Reviewed about 1 year ago