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

Tom D. · 已于 9 days前审核

Sadupati A. · 已于 9 days前审核

Uha G. · 已于 9 days前审核

RESHMITHAA B. · 已于 9 days前审核

Avinash B. · 已于 9 days前审核

Maths Masters G. · 已于 9 days前审核

Shamanth K. · 已于 9 days前审核

good

Udhaya P. · 已于 9 days前审核

Keerthana D. · 已于 9 days前审核

Uha G. · 已于 9 days前审核

Suhas C. · 已于 9 days前审核

429 issues no matter what i try

Santosh R. · 已于 9 days前审核

Anushree A. · 已于 9 days前审核

R Shree A. · 已于 9 days前审核

규훈 이. · 已于 9 days前审核

Dilli B. · 已于 9 days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 9 days前审核

Indrajit B. · 已于 9 days前审核

Rabiaafrose A. · 已于 9 days前审核

R Shree A. · 已于 9 days前审核

R Shree A. · 已于 9 days前审核

Vinay S. · 已于 9 days前审核

fail Vertex AI!!!!

Teodoro C. · 已于 9 days前审核

mahammadarshad m. · 已于 9 days前审核

Devika B. · 已于 9 days前审核