Create Text Embeddings for a Vector Store using LangChain Reviews

Xiu B. · Reviewed 2 months ago

Package !pip install langchain-google-genai missing. Will retry. Lab does not work, fails here: from langchain_google_genai import GoogleGenerativeAIEmbeddings

Shuvro A. · Reviewed 2 months ago

If you encounter errors, they are due to some recents updates in chroma db. You need to downgrade and use the previous version. Check below reviews for the exact code changes

pulkit a. · Reviewed 2 months ago

Rogerio L. · Reviewed 2 months ago

Errors in notebook

I O. · Reviewed 2 months ago

Kotchamonwan S. · Reviewed 2 months 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 months ago

sdcxdxc

Vivek K. · Reviewed 2 months ago

bug but work

Abdullah A. · Reviewed 2 months ago

Muhamad Anggara R. · Reviewed 2 months ago

Ajay K. · Reviewed 2 months ago

Regani A. · Reviewed 2 months ago

Tach E. · Reviewed 2 months ago

Akash S. · Reviewed 2 months ago

Muhammad R. · Reviewed 2 months ago

Siti R. · Reviewed 2 months ago

Garth G. · Reviewed 2 months ago

Tarun Y. · Reviewed 2 months ago

kc c. · Reviewed 2 months ago

kc c. · Reviewed 2 months ago

kanin s. · Reviewed 2 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 2 months ago

Good lab

Abhinav C. · Reviewed 2 months ago

Andrea G. · Reviewed 2 months ago

Nizam B. · Reviewed 2 months ago