Create Text Embeddings for a Vector Store using LangChain avaliações

Errors in notebook

I O. · Revisado há 2 months

Kotchamonwan S. · Revisado há 2 months

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. · Revisado há 2 months

sdcxdxc

Vivek K. · Revisado há 2 months

bug but work

Abdullah A. · Revisado há 2 months

Muhamad Anggara R. · Revisado há 2 months

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kc c. · Revisado há 2 months

kc c. · Revisado há 2 months

kanin s. · Revisado há 2 months

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. · Revisado há 2 months

Good lab

Abhinav C. · Revisado há 2 months

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Yudya Galih R. · Revisado há 2 months

lisa b. · Revisado há 2 months