Create Text Embeddings for a Vector Store using LangChain Reviews

Nikhil K. · Reviewed 13 days ago

Glen Y. · Reviewed 14 days ago

fine

Tushar K. · Reviewed 14 days ago

Good

Vannoor S. · Reviewed 14 days ago

7SG- C. · Reviewed 15 days ago

Eugen V. · Reviewed 15 days ago

Ievgen V. · Reviewed 15 days ago

great

Yeifer R. · Reviewed 16 days ago

Ayushi K. · Reviewed 16 days ago

Pragathi R. · Reviewed 17 days ago

Harsh W. · Reviewed 17 days ago

Pradyut kumar D. · Reviewed 17 days ago

Vinayak S. · Reviewed 18 days ago

TWFC O. · Reviewed 18 days ago

Ishita B. · Reviewed 19 days ago

Joaquín M. · Reviewed 20 days ago

Rani C. · Reviewed 20 days ago

abhinav g. · Reviewed 21 days ago

Alejandro G. · Reviewed 21 days ago

Syahrul Bahar H. · Reviewed 22 days ago

Basavaraju R. · Reviewed 23 days ago

Komal S. · Reviewed 23 days ago

Sangram S. · Reviewed 23 days ago

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 24 days ago

Laura H. · Reviewed 24 days ago