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

Christy M. · Reviewed 3 أشهر ago

Tikam S. · Reviewed 3 أشهر ago

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. · Reviewed 3 أشهر ago

the code is not working

Massimo A. · Reviewed 3 أشهر ago

Brent Gian B. · Reviewed 3 أشهر ago

Marcaba error desde el 3er punto de control

José Luis R. · Reviewed 3 أشهر ago

Khaja R. · Reviewed 3 أشهر ago

John Roldan B. · Reviewed 3 أشهر ago

Tom D. · Reviewed 3 أشهر ago

Sadupati A. · Reviewed 3 أشهر ago

Uha G. · Reviewed 3 أشهر ago

RESHMITHAA B. · Reviewed 3 أشهر ago

Avinash B. · Reviewed 3 أشهر ago

Maths Masters G. · Reviewed 3 أشهر ago

Shamanth K. · Reviewed 3 أشهر ago

good

Udhaya P. · Reviewed 3 أشهر ago

Keerthana D. · Reviewed 3 أشهر ago

Uha G. · Reviewed 3 أشهر ago

Suhas C. · Reviewed 3 أشهر ago

429 issues no matter what i try

Santosh R. · Reviewed 3 أشهر ago

Anushree A. · Reviewed 3 أشهر ago

R Shree A. · Reviewed 3 أشهر ago

규훈 이. · Reviewed 3 أشهر ago

Dilli B. · Reviewed 3 أشهر ago

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. · Reviewed 3 أشهر ago