Create Text Embeddings for a Vector Store using LangChain Reviews

Errors in notebook

I O. · Reviewed 2 месяцев ago

Kotchamonwan S. · Reviewed 2 месяцев ago

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 2 месяцев ago

sdcxdxc

Vivek K. · Reviewed 2 месяцев ago

bug but work

Abdullah A. · Reviewed 2 месяцев ago

Muhamad Anggara R. · Reviewed 2 месяцев ago

Ajay K. · Reviewed 2 месяцев ago

Regani A. · Reviewed 2 месяцев ago

Tach E. · Reviewed 2 месяцев ago

Akash S. · Reviewed 2 месяцев ago

Muhammad R. · Reviewed 2 месяцев ago

Siti R. · Reviewed 2 месяцев ago

Garth G. · Reviewed 2 месяцев ago

Tarun Y. · Reviewed 2 месяцев ago

kc c. · Reviewed 2 месяцев ago

kc c. · Reviewed 2 месяцев ago

kanin s. · Reviewed 2 месяцев 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 2 месяцев ago

Good lab

Abhinav C. · Reviewed 2 месяцев ago

Andrea G. · Reviewed 2 месяцев ago

Nizam B. · Reviewed 2 месяцев ago

Ryan R. · Reviewed 2 месяцев ago

Solomon B. · Reviewed 2 месяцев ago

Yudya Galih R. · Reviewed 2 месяцев ago

lisa b. · Reviewed 2 месяцев ago