Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Agent Platform recensioni

Christy M. · Recensione inserita 3 mesi fa

Tikam S. · Recensione inserita 3 mesi fa

Got an error during the execution of Jupyter preventing me from moving forward. It could potentially be related to deprecated APIs. google-cloud-aiplatform 1.130.0 requires google-genai<2.0.0,>=1.37.0, but you have google-genai 2.4.0 which is incompatible.

Boire J. · Recensione inserita 3 mesi fa

the code is not working

Massimo A. · Recensione inserita 3 mesi fa

Brent Gian B. · Recensione inserita 3 mesi fa

Marcaba error desde el 3er punto de control

José Luis R. · Recensione inserita 3 mesi fa

Khaja R. · Recensione inserita 3 mesi fa

John Roldan B. · Recensione inserita 3 mesi fa

Tom D. · Recensione inserita 3 mesi fa

Sadupati A. · Recensione inserita 3 mesi fa

Uha G. · Recensione inserita 3 mesi fa

RESHMITHAA B. · Recensione inserita 3 mesi fa

Avinash B. · Recensione inserita 3 mesi fa

Maths Masters G. · Recensione inserita 3 mesi fa

Shamanth K. · Recensione inserita 3 mesi fa

good

Udhaya P. · Recensione inserita 3 mesi fa

Keerthana D. · Recensione inserita 3 mesi fa

Uha G. · Recensione inserita 3 mesi fa

Suhas C. · Recensione inserita 3 mesi fa

429 issues no matter what i try

Santosh R. · Recensione inserita 3 mesi fa

Anushree A. · Recensione inserita 3 mesi fa

R Shree A. · Recensione inserita 3 mesi fa

규훈 이. · Recensione inserita 3 mesi fa

Dilli B. · Recensione inserita 3 mesi fa

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. · Recensione inserita 3 mesi fa