Create Text Embeddings for a Vector Store using LangChain Reviews
609 reviews
Tach E. · Reviewed 3 months ago
Akash S. · Reviewed 3 months ago
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Siti R. · Reviewed 3 months ago
Garth G. · Reviewed 3 months ago
Tarun Y. · Reviewed 3 months ago
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
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