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

sdcxdxc

Vivek K. · 已于 2 months前审核

bug but work

Abdullah A. · 已于 2 months前审核

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kc c. · 已于 2 months前审核

kanin s. · 已于 2 months前审核

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. · 已于 2 months前审核

Good lab

Abhinav C. · 已于 2 months前审核

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