Create Text Embeddings for a Vector Store using LangChain Reviews

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. · Reviewed about 1 month ago

Laura H. · Reviewed about 1 month ago

Zachary K. · Reviewed about 1 month ago

good

Suraj Y. · Reviewed about 1 month ago

SUNKARA L. · Reviewed about 1 month ago

Great!!

Ratnesh S. · Reviewed about 1 month ago

Great!!

Ratnesh S. · Reviewed about 1 month ago

Awaludin A. · Reviewed about 1 month ago

Prajjal B. · Reviewed about 1 month ago

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

Bryan B. · Reviewed about 1 month ago

subhadip M. · Reviewed about 1 month ago

Humaidi A. · Reviewed about 1 month ago

Philipp B. · Reviewed about 1 month ago

Anurag S. · Reviewed about 1 month ago

Prakash K. · Reviewed about 1 month ago

the split text took a while to give green chuck even after successful execution

William S. · Reviewed about 1 month ago

Albert W. · Reviewed about 1 month ago

nice

KUNAL K. · Reviewed about 1 month ago

Vladyslav P. · Reviewed about 1 month ago

Yash C. · Reviewed about 1 month ago

Przemyslaw K. · Reviewed about 1 month ago

俊夫 熊. · Reviewed about 1 month ago

KARAN P. · Reviewed about 1 month ago

Garima N. · Reviewed about 1 month ago

Michelle F. · Reviewed about 1 month ago