Create Text Embeddings for a Vector Store using LangChain Reviews

kc c. · Reviewed 3 months ago

kc c. · Reviewed 3 months ago

kanin s. · Reviewed 3 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 3 months ago

Good lab

Abhinav C. · Reviewed 3 months ago

Andrea G. · Reviewed 3 months ago

Nizam B. · Reviewed 3 months ago

Ryan R. · Reviewed 3 months ago

Solomon B. · Reviewed 3 months ago

Yudya Galih R. · Reviewed 3 months ago

lisa b. · Reviewed 3 months ago

Vedant G. · Reviewed 3 months ago

Samruddhi P. · Reviewed 3 months ago

Jossssss tenan DhaBBBBBB!!!!!

Agus Bayu S. · Reviewed 3 months ago

It's not working when trying to save the data in the ChromaDB. Please check

Danilo S. · Reviewed 3 months ago

Hari P. · Reviewed 3 months ago

Samriddhi G. · Reviewed 3 months ago

Ahmad B. · Reviewed 3 months ago

DONE!

Andrian S. · Reviewed 3 months ago

Gesang W. · Reviewed 3 months ago

Hubbal H. · Reviewed 3 months ago

Dhedot D. · Reviewed 3 months ago

Shiva sagar K. · Reviewed 3 months ago