Create Text Embeddings for a Vector Store using LangChain Reviews
527 reviews
Pragathi R. · Reviewed 12 дней ago
Harsh W. · Reviewed 13 дней ago
Pradyut kumar D. · Reviewed 13 дней ago
Vinayak S. · Reviewed 13 дней ago
TWFC O. · Reviewed 14 дней ago
Ishita B. · Reviewed 15 дней ago
Joaquín M. · Reviewed 15 дней ago
Rani C. · Reviewed 15 дней ago
abhinav g. · Reviewed 16 дней ago
Alejandro G. · Reviewed 17 дней ago
Syahrul Bahar H. · Reviewed 18 дней ago
Basavaraju R. · Reviewed 18 дней ago
Komal S. · Reviewed 19 дней ago
Sangram S. · Reviewed 19 дней 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 19 дней ago
Laura H. · Reviewed 19 дней ago
Zachary K. · Reviewed 20 дней ago
good
Suraj Y. · Reviewed 20 дней ago
SUNKARA L. · Reviewed 21 дней ago
Great!!
Ratnesh S. · Reviewed 21 дней ago
Great!!
Ratnesh S. · Reviewed 21 дней ago
Awaludin A. · Reviewed 21 дней ago
Prajjal B. · Reviewed 21 дней ago
Not very interactive. Code was already written all you do is run it.
Bryan B. · Reviewed 21 дней ago
subhadip M. · Reviewed 21 дней ago
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