Create Text Embeddings for a Vector Store using LangChain Reviews
590 reviews
環境内で指定されているライブラリのバージョンが古く、そのままでは実行できなかった (pipで新しいバージョンのライブラリを指定すると、このハンズオンを合格させる程度の処理までは何とか出来る)
守男 毛. · Reviewed 3 months ago
sdcxdxc
Vivek K. · Reviewed 3 months ago
bug but work
Abdullah A. · Reviewed 3 months ago
Muhamad Anggara R. · Reviewed 3 months ago
Ajay K. · Reviewed 3 months ago
Regani A. · Reviewed 3 months ago
Tach E. · Reviewed 3 months ago
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Tarun Y. · Reviewed 3 months ago
kc c. · Reviewed 3 months ago
kc c. · Reviewed 3 months ago
kanin s. · Reviewed 3 months ago
It was a good learning guideline. However, there seemed to be some errors in the Jupyter notebook content. 1. Error in code using Chroma DB - Error Message: AttributeError: ‘Collection’ object has no attribute ‘model_fields’ - Cause of Error: Dependency conflict due to ChromaDB version update - Solution: Downgrade ChromaDB (https://github.com/langchain-ai/langchain/issues/24163) !pip uninstall chromadb -y !pip install chromadb==0.5.3 2. Error in “Vectorize/Embed Document Chunks - # Save to disk” code - Change Request: documents = docs -> documents = chunks - Reason: We need to embed the chunks, not the documents. Thank you.
태우 이. · Reviewed 3 months ago
Good lab
Abhinav C. · Reviewed 3 months ago
Andrea G. · Reviewed 3 months ago
Nizam B. · Reviewed 3 months ago
Ryan R. · Reviewed 3 months ago
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Yudya Galih R. · Reviewed 3 months ago
lisa b. · Reviewed 3 months ago
Vedant G. · Reviewed 3 months ago
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