关于“Enhance Text Generation with RAG, LangChain, and Vertex AI”的评价
482 条评价
Viktar V. · 已于 3 months前审核
GUJJALA M. · 已于 3 months前审核
Maksymilian M. · 已于 3 months前审核
These things are just super buggy
Cameron P. · 已于 3 months前审核
dorina s. · 已于 3 months前审核
Borys H. · 已于 3 months前审核
Puneet R. · 已于 3 months前审核
Danniel C. · 已于 3 months前审核
pranay k. · 已于 3 months前审核
A more complicated chain - RAG does not work.
Chengtao W. · 已于 3 months前审核
Borys H. · 已于 3 months前审核
Soundarya K. · 已于 4 months前审核
Felipe M. · 已于 4 months前审核
Mehul R. · 已于 4 months前审核
Nisim H. · 已于 4 months前审核
Victor G. · 已于 4 months前审核
Huu P. · 已于 4 months前审核
Huu P. · 已于 4 months前审核
Kavindu L. · 已于 4 months前审核
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. · 已于 4 months前审核
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. · 已于 4 months前审核
Code was failing in the Doc Array and the lab was counted as complete
Mahammad A. · 已于 4 months前审核
masakazu i. · 已于 4 months前审核
Klaudia K. · 已于 4 months前审核
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. · 已于 4 months前审核
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