关于“Enhance Text Generation with RAG, LangChain, and Vertex AI”的评价

Viktar V. · 评论3 months之前

GUJJALA M. · 评论3 months之前

Maksymilian M. · 评论3 months之前

These things are just super buggy

Cameron P. · 评论3 months之前

dorina s. · 评论3 months之前

Borys H. · 评论3 months之前

Puneet R. · 评论3 months之前

Danniel C. · 评论3 months之前

pranay k. · 评论3 months之前

A more complicated chain - RAG does not work.

Chengtao W. · 评论3 months之前

Borys H. · 评论3 months之前

Soundarya K. · 评论4 months之前

Felipe M. · 评论4 months之前

Mehul R. · 评论4 months之前

Nisim H. · 评论4 months之前

Victor G. · 评论4 months之前

Huu P. · 评论4 months之前

Huu P. · 评论4 months之前

Kavindu L. · 评论4 months之前

Stuck in DocArray, error: File /opt/conda/lib/python3.10/site-packages/langchain_core/vectorstores.py:550, in VectorStore.from_documents(cls, documents, embedding, **kwargs)

Mila C. · 评论4 months之前

A more complicated Chain - RAG was causing errors which I was unable to solve. ValidationError: 1 validation error for DocArrayDoc embedding Expected a numpy.ndarray compatible type, got <class 'proto.marshal.collections.repeated.Repeated'> (type=value_error)

Jonas L. · 评论4 months之前

Code was failing in the Doc Array and the lab was counted as complete

Mahammad A. · 评论4 months之前

masakazu i. · 评论4 months之前

Klaudia K. · 评论4 months之前

vectorstore = DocArrayInMemorySearch.from_documents( docs, #embedding=embeddings # passing in the model to embed documents.. embeddings ) Throws an error: ValidationError: 1 validation error for DocArrayDoc embedding Expected a numpy.ndarray compatible type, got <class 'proto.marshal.collections.repeated.Repeated'> (type=value_error)

Mark S. · 评论4 months之前