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

Sadupati A. · Examiné il y a 4 mois

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Shamanth K. · Examiné il y a 4 mois

good

Udhaya P. · Examiné il y a 4 mois

Keerthana D. · Examiné il y a 4 mois

Uha G. · Examiné il y a 4 mois

Suhas C. · Examiné il y a 4 mois

429 issues no matter what i try

Santosh R. · Examiné il y a 4 mois

Anushree A. · Examiné il y a 4 mois

R Shree A. · Examiné il y a 4 mois

규훈 이. · Examiné il y a 4 mois

Dilli B. · Examiné il y a 4 mois

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. · Examiné il y a 4 mois

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Rabiaafrose A. · Examiné il y a 4 mois

R Shree A. · Examiné il y a 4 mois

R Shree A. · Examiné il y a 4 mois

Vinay S. · Examiné il y a 4 mois

fail Vertex AI!!!!

Teodoro C. · Examiné il y a 4 mois

mahammadarshad m. · Examiné il y a 4 mois

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Ankit D. · Examiné il y a 4 mois