Create Text Embeddings for a Vector Store using LangChain Reviews

Create Text Embeddings for a Vector Store using LangChain Reviews

567 reviews

Syahrul Bahar H. · Reviewed 23 days ago

Basavaraju R. · Reviewed 24 days ago

Komal S. · Reviewed 24 days ago

Sangram S. · Reviewed 24 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 25 days ago

Laura H. · Reviewed 25 days ago

Zachary K. · Reviewed 26 days ago

good

Suraj Y. · Reviewed 26 days ago

SUNKARA L. · Reviewed 26 days ago

Great!!

Ratnesh S. · Reviewed 26 days ago

Great!!

Ratnesh S. · Reviewed 26 days ago

Awaludin A. · Reviewed 26 days ago

Prajjal B. · Reviewed 27 days ago

Not very interactive. Code was already written all you do is run it.

Bryan B. · Reviewed 27 days ago

subhadip M. · Reviewed 27 days ago

Humaidi A. · Reviewed 27 days ago

Philipp B. · Reviewed 27 days ago

Anurag S. · Reviewed 28 days ago

Prakash K. · Reviewed 28 days ago

the split text took a while to give green chuck even after successful execution

William S. · Reviewed 28 days ago

Albert W. · Reviewed 28 days ago

nice

KUNAL K. · Reviewed 28 days ago

Vladyslav P. · Reviewed 29 days ago

Yash C. · Reviewed 29 days ago

Przemyslaw K. · Reviewed 29 days ago

We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.