Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Hands on Lab for Neo4j and Vertex AI
Create a Chatbot app on your own data with GCP tools
Search for similar images using NeonDB and Vertex AI.
Kedro Plugin to support running workflows on GCP Vertex AI Pipelines
Mini-Bard client for Angular using Gemini Pro via API key from Google AI Studio
Use Gemini Pro LLM via VertexAI to create an engaging quiz game incorporating TMDB API data
Collection of OSS models that are containerized into a serving container
Customized bot with langchain and gpt4
HTTP proxy for accessing Vertex AI with the REST API interface of ollama. Optionally forwarding requests for other models to ollama. Written in Go.
Using Azure Open AI and Google Cloud Vertex AI Large Language Model to score programming code.
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).
SQLGenius is an AI-powered SQL assistant that converts natural language to SQL queries using Vertex AI's Gemini Pro. Built with MCP and Streamlit, it provides an intuitive interface for BigQuery data exploration with real-time visualization and schema management.
TaxEase.AI is a user-friendly AI assistant designed to demystify and simplify US tax filing, a system that has become needlessly convoluted and stressful for millions of Americans.
Building AI-Powered Chatbots on Cloud Run: A Step-by-Step Guide Using Google’s PaLM API and Cloud Run
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