Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
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Updated
Jun 30, 2026 - Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
LLM Agent that performs sentiment analysis of drawings and natural language using a combination of Google Gemini Vision model and GPT-4 Turbo with LlamaIndex.
📚 Plataforma inteligente para gestão e resumo de documentos PDF utilizando IA Generativa (Google Gemini). Projeto acadêmico com arquitetura em microsserviços (React, FastAPI, Docker) e deploy na AWS.
AI/ML learning notebooks — GANs, multimodal AI, LangChain, LangGraph, RAG, CrewAI, and more
Sample code and notebooks for Generative AI on Google Cloud, including Gemini
Capstone project for building a GenAI-driven Security Assistant using LangGraph, Gemini, and SerpAPI.
Build intelligent autonomous agents with CrewAI and Google Gemini. Includes notebooks for single-agent, tool-augmented, and multi-agent workflows.
Claude Code skill for automating Google Gemini Web via Chrome DevTools MCP. 12 tested flows: chat, file upload, prompts, notebooks (RAG).
Unofficial API Gateway
This repository contains hands-on notebooks and end-to-end examples demonstrating how to build Generative AI and RAG (Retrieval-Augmented Generation) applications using LlamaIndex.
Capstone project for building a GenAI-driven Security Assistant using LangGraph, Gemini, and SerpAPI.
A serverless, vanilla HTML/JS/CSS client-side notebook featuring local-first storage, rich-text editing, and voice dictation—integrated with Google Gemini API, Quill.js, and Markmap/D3 for AI-driven summaries, outlines, and SVG mind-map visualizations.
A self-correcting multi-agent system that audits and actively fixes Kaggle notebooks. Powered by LangGraph and Gemini 2.5, it uses an autonomous feedback loop to improve code quality, documentation, and reproducibility scores in minutes.
The team produced a data‑driven risk heuristics analysis pipeline that combines Python analytics with large language model feedback to assess and enrich existing risk registers. Using Jupyter notebooks, they analyse risk and mitigation data, apply SME heuristics via an LLM, and output annotated spreadsheets and summary datasets designed for do...
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