Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI tools & agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
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).
Building AI-Powered Chatbots on Cloud Run: A Step-by-Step Guide Using Google’s PaLM API and Cloud Run
Prompt Engineering Tooling for OpenAI (chatgpt) or VertexAI (google cloud) APIs . With more APIs to follow
College project (App development for mobile devices S5): A cloud storage app with excellent file management, using storage and camera access for file uploads and attachments for chat with Gemini AI.
Add a description, image, and links to the vertexai topic page so that developers can more easily learn about it.
To associate your repository with the vertexai topic, visit your repo's landing page and select "manage topics."