Create Text Embeddings for a Vector Store using LangChain Reviews
575 reviews
Pradyut kumar D. · Reviewed 20 days ago
Vinayak S. · Reviewed 21 days ago
TWFC O. · Reviewed 21 days ago
Ishita B. · Reviewed 22 days ago
JoaquĆn M. · Reviewed 23 days ago
Rani C. · Reviewed 23 days ago
abhinav g. · Reviewed 23 days ago
Alejandro G. · Reviewed 24 days ago
Syahrul Bahar H. · Reviewed 25 days ago
Basavaraju R. · Reviewed 26 days ago
Komal S. · Reviewed 26 days ago
Sangram S. · Reviewed 26 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 27 days ago
Laura H. · Reviewed 27 days ago
Zachary K. · Reviewed 28 days ago
good
Suraj Y. · Reviewed 28 days ago
SUNKARA L. · Reviewed 28 days ago
Great!!
Ratnesh S. · Reviewed 28 days ago
Great!!
Ratnesh S. · Reviewed 28 days ago
Awaludin A. · Reviewed 28 days ago
Prajjal B. · Reviewed 29 days ago
Not very interactive. Code was already written all you do is run it.
Bryan B. · Reviewed 29 days ago
subhadip M. · Reviewed 29 days ago
Humaidi A. · Reviewed 29 days ago
Philipp B. · Reviewed 29 days ago
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