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

Pragathi R. · 评论12 days之前

Harsh W. · 评论13 days之前

Pradyut kumar D. · 评论13 days之前

Vinayak S. · 评论13 days之前

TWFC O. · 评论14 days之前

Ishita B. · 评论15 days之前

Joaquín M. · 评论15 days之前

Rani C. · 评论15 days之前

abhinav g. · 评论16 days之前

Alejandro G. · 评论17 days之前

Syahrul Bahar H. · 评论18 days之前

Basavaraju R. · 评论18 days之前

Komal S. · 评论19 days之前

Sangram S. · 评论19 days之前

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. · 评论19 days之前

Laura H. · 评论19 days之前

Zachary K. · 评论20 days之前

good

Suraj Y. · 评论20 days之前

SUNKARA L. · 评论21 days之前

Great!!

Ratnesh S. · 评论21 days之前

Great!!

Ratnesh S. · 评论21 days之前

Awaludin A. · 评论21 days之前

Prajjal B. · 评论21 days之前

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

Bryan B. · 评论21 days之前

subhadip M. · 评论21 days之前