关于“Create Text Embeddings for a Vector Store using LangChain”的评价

Errors in notebook

I O. · 评论2 months之前

Kotchamonwan S. · 评论2 months之前

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. · 评论2 months之前

sdcxdxc

Vivek K. · 评论2 months之前

bug but work

Abdullah A. · 评论2 months之前

Muhamad Anggara R. · 评论2 months之前

Ajay K. · 评论2 months之前

Regani A. · 评论2 months之前

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Akash S. · 评论2 months之前

Muhammad R. · 评论2 months之前

Siti R. · 评论2 months之前

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Tarun Y. · 评论2 months之前

kc c. · 评论2 months之前

kc c. · 评论2 months之前

kanin s. · 评论2 months之前

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. · 评论2 months之前

Good lab

Abhinav C. · 评论2 months之前

Andrea G. · 评论2 months之前

Nizam B. · 评论2 months之前

Ryan R. · 评论2 months之前

Solomon B. · 评论2 months之前

Yudya Galih R. · 评论2 months之前

lisa b. · 评论2 months之前