关于“Create Text Embeddings for a Vector Store using LangChain”的评价

Pragathi R. · 已于 12 days前审核

Harsh W. · 已于 13 days前审核

Pradyut kumar D. · 已于 13 days前审核

Vinayak S. · 已于 13 days前审核

TWFC O. · 已于 14 days前审核

Ishita B. · 已于 15 days前审核

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Rani C. · 已于 15 days前审核

abhinav g. · 已于 16 days前审核

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Syahrul Bahar H. · 已于 18 days前审核

Basavaraju R. · 已于 18 days前审核

Komal S. · 已于 19 days前审核

Sangram S. · 已于 19 days前审核

The execution error outs on multiple steps due to various reasons 11 USER_AGENT environment variable not set, consider setting it to identify your requests. 14. --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[14], line 3 1 # Save to disk 2 vectorstore = Chroma(embedding_function=gemini_embeddings, persist_directory="./vectorstore") ----> 3 chunks = text_splitter.split_documents(docs) 5 for chunk in chunks: 6 vectorstore.add_documents([chunk]) NameError: name 'text_splitter' is not defined

Yoga D. · 已于 19 days前审核

Laura H. · 已于 19 days前审核

Zachary K. · 已于 20 days前审核

good

Suraj Y. · 已于 20 days前审核

SUNKARA L. · 已于 21 days前审核

Great!!

Ratnesh S. · 已于 21 days前审核

Great!!

Ratnesh S. · 已于 21 days前审核

Awaludin A. · 已于 21 days前审核

Prajjal B. · 已于 21 days前审核

Not very interactive. Code was already written all you do is run it.

Bryan B. · 已于 21 days前审核

subhadip M. · 已于 21 days前审核