Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
-
Updated
Nov 29, 2024 - Jupyter Notebook
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
Kedro Plugin to support running workflows on GCP Vertex AI Pipelines
Search for similar images using NeonDB and Vertex AI.
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
Using Azure Open AI and Google Cloud Vertex AI Large Language Model to score programming code.
HTTP proxy for accessing Vertex AI with the REST API interface of ollama. Optionally forwarding requests for other models to ollama. Written in Go.
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS).
Prompt Engineering Tooling for OpenAI (chatgpt) or VertexAI (google cloud) APIs . With more APIs to follow
Building AI-Powered Chatbots on Cloud Run: A Step-by-Step Guide Using Google’s PaLM API and Cloud Run
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."