Create Text Embeddings for a Vector Store using LangChain Reviews

fine

Tushar K. · Reviewed 30 days ago

Good

Vannoor S. · Reviewed 30 days ago

7SG- C. · Reviewed about 1 month ago

Eugen V. · Reviewed about 1 month ago

Ievgen V. · Reviewed about 1 month ago

great

Yeifer R. · Reviewed about 1 month ago

Ayushi K. · Reviewed about 1 month ago

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Harsh W. · Reviewed about 1 month ago

Pradyut kumar D. · Reviewed about 1 month ago

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TWFC O. · Reviewed about 1 month ago

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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

Laura H. · Reviewed about 1 month ago

Zachary K. · Reviewed about 1 month ago

good

Suraj Y. · Reviewed about 1 month ago