关于“在 Agent Platform 中使用 Gemini API 执行多模态检索增强生成 (RAG)”的评价

Sadupati A. · 已于 4 months前审核

Uha G. · 已于 4 months前审核

RESHMITHAA B. · 已于 4 months前审核

Avinash B. · 已于 4 months前审核

Maths Masters G. · 已于 4 months前审核

Shamanth K. · 已于 4 months前审核

good

Udhaya P. · 已于 4 months前审核

Keerthana D. · 已于 4 months前审核

Uha G. · 已于 4 months前审核

Suhas C. · 已于 4 months前审核

429 issues no matter what i try

Santosh R. · 已于 4 months前审核

Anushree A. · 已于 4 months前审核

R Shree A. · 已于 4 months前审核

규훈 이. · 已于 4 months前审核

Dilli B. · 已于 4 months前审核

there were issues with the code blocks; Ah, that explains it. The rich library is installed, but it's sitting in your micromamba environment (`/opt/micromamba/...`), while your Jupyter Notebook kernel is likely running a completely different Python executable. When Jupyter uses a different kernel version or virtual environment than the one where the packages are installed, it won't see them, leading back to that NameError. You can fix this inside the notebook by forcing pip to install directly into the specific environment your current kernel is using. Run this in a new cell: ```python import sys !{sys.executable} -m pip install rich vertexai ``` Using `sys.executable` guarantees that the packages land in the exact Python environment running your current notebook. Once that cell finishes running, go ahead and execute your import cell again: ```python from IPython.display import Markdown, display from rich.markdown import Markdown as rich_Markdown from vertexai.generative_models import GenerationConfig, GenerativeModel, Image ``` Everything should import cleanly this time, and your model initialization lines will work right after.

Raphael M. · 已于 4 months前审核

Indrajit B. · 已于 4 months前审核

Rabiaafrose A. · 已于 4 months前审核

R Shree A. · 已于 4 months前审核

R Shree A. · 已于 4 months前审核

Vinay S. · 已于 4 months前审核

fail Vertex AI!!!!

Teodoro C. · 已于 4 months前审核

mahammadarshad m. · 已于 4 months前审核

Devika B. · 已于 4 months前审核

Ankit D. · 已于 4 months前审核