Create Text Embeddings for a Vector Store using LangChain Reviews
587 reviews
Arpit S. · Reviewed 22 days ago
Nikhil K. · Reviewed 22 days ago
Glen Y. · Reviewed 22 days ago
fine
Tushar K. · Reviewed 22 days ago
Good
Vannoor S. · Reviewed 23 days ago
7SG- C. · Reviewed 24 days ago
Eugen V. · Reviewed 24 days ago
Ievgen V. · Reviewed 24 days ago
great
Yeifer R. · Reviewed 25 days ago
Ayushi K. · Reviewed 25 days ago
Pragathi R. · Reviewed 26 days ago
Harsh W. · Reviewed 26 days ago
Pradyut kumar D. · Reviewed 26 days ago
Vinayak S. · Reviewed 26 days ago
TWFC O. · Reviewed 27 days ago
Ishita B. · Reviewed 28 days ago
JoaquĆn M. · Reviewed 28 days ago
Rani C. · Reviewed 29 days ago
abhinav g. · Reviewed 29 days ago
Alejandro G. · Reviewed 30 days ago
Syahrul Bahar H. · Reviewed about 1 month ago
Basavaraju R. · Reviewed about 1 month ago
Komal S. · Reviewed about 1 month ago
Sangram S. · Reviewed about 1 month 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 about 1 month ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.