@genkit-ai/vertexai
The Vertex AI plugin provides interfaces to several AI services: Google generative AI models, A subset of evaluation metrics through the Vertex AI Rapid Evaluation API, Vector Search.
🔥 List of Genkit talks, plugins, tools, examples & articles! Contributions welcome!
This page lists names, links and short descriptions. The original list on GitHub is the source and belongs to its authors.
The Vertex AI plugin provides interfaces to several AI services: Google generative AI models, A subset of evaluation metrics through the Vertex AI Rapid Evaluation API, Vector Search.
The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API.
The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
Plugin for Compatible OpenAI APIs.
Plugin for XAI APIs.
Plugin for OpenAI APIs.
Plugin for Local Vector Store for development purposes.
Firebase plugin provides several integrations with Firebase services: Indexers and retrievers using Cloud Firestore vector store, Trace storage using Cloud Firestore, Flow deployment using Cloud Functions, Authorization policies for Firebase Authentication users.
Express plugin provides an Express middleware for Genkit.
MCP plugin provides an interface to the MCP (Model Context Procol).
Plugin for GitHub Models APIs.
Plugin for Anthropic AI APIs.
Plugin for AWS Bedrock APIs.
Plugin for Deepseek Cloud APIs.
Plugin for Hugging Face Inference APIs.
Plugin for Qdrant Vector Stores.
Plugin for AstraDB Vector Stores.
Plugin for PostgeSQL (PGVector) Vector Stores.
Plugin for Redis Vector Stores.
Plugin for Voiceflow KB.
Plugin for LanceDB Vector Stores.
Plugin for Pinecone Vector Stores.
Plugin for Chroma Vector Stores.
Plugin for Neo4j Vector Stores.
Plugin for Cloud SQL for PostgreSQL Vector Stores.
Plugin for Weaviate Vector Stores.
Plugin for MongoDB Vector Stores.
Plugin for Promptfoo Evaluations.
Plugin for building Graph workflows.
A Redis Plugin for Genkit that adds Redis for efficient state storage, trace storage, caching, and rate limiting.
A simple RxJS helper/adapter for Genkit.
Agentic Tools adapter for the Genkit SDK.
Official Auth0 plugin for Genkit that provides authentication and authorization capabilities.
Plugin to integrate with Langfuse for telemetry and prompt management.
Plugin to integrate with PostHog for telemetry and analytics.
Plugin that registers four agent-callable tools (reasoning, code, anti-deception, memory) the model calls before generating. Each call returns a structured cognitive scaffold from the Ejentum Reasoning Harness.
The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI models.
The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
The Firestore plugin provides interfaces to the Firestore vector store.
Plugin for Local Vector Store for development purposes.
Flask plugin for building web applications with Genkit.
The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI Models.
The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
Plugin for Compatible OpenAI APIs (OpenAI, Anthropic providers).
Plugin for Pinecone Vector Stores.
Plugin for AlloyDB Vector Stores.
Plugin for Local Vector Store for development purposes.
Plugin for PostgreSQL (PGVector) Vector Stores.
Plugin for Cloud SQL for PostgreSQL Vector Stores.
Plugin for Weaviate Vector Stores.
The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.
The MCP plugin provides interfaces to the MCP (Managed Context Protocol).
Plugin for AWS Bedrock APIs.
Plugin for Azure AI Foundry.
Plugin for Qdrant Vector Stores.
Plugin for OpenTelemetry to monitor Genkit applications.
A Dart SDK for Genkit, providing a unified interface for text generation, structured output, tool calling, and agentic workflows.
Google AI plugin for Genkit Dart.
Anthropic plugin for Genkit Dart.
OpenAI plugin for Genkit Dart.
Chrome Prompt API (Gemini Nano) plugin for Genkit Dart.
Firebase AI plugin for Genkit Dart.
Model Context Protocol (MCP) plugin for Genkit Dart.
Common middlewares (filesystem, skills, toolApproval) for Genkit Dart.
Shelf HTTP Server integration for Genkit Dart.
An unofficial Java SDK for Genkit, providing Java support for building AI-powered applications.
Specs for the JavaScript API.
Specs for the Python API.
Specs for the Golang API.
Build Production-Ready AI Applications with Go and Genkit.
An open-source Genkit-based internal AI chat application.
A command-line interface (CLI) tool that leverages Genkit to provide AI-powered answers to user queries by utilizing web search results from Tavily AI simulating how Perplexity works.
An MCP server built with Genkit for Go that enables AI assistants to estimate Google Cloud costs directly, replacing manual use of the GCP Pricing Calculator.
A sample project demonstrating how to use Genkit with Azure Functions and Azure AI Foundry.
A sample project demonstrating how to use Genkit with AWS Lambda and Amazon Bedrock.
A self-hostable LLM agent platform built on the Genkit Go SDK that lets you configure, test, and deploy AI agents through a visual UI, OpenAI-compatible REST API, and MCP server support for use with AI clients like Claude.
A talk on how to supercharge your app with Genkit.
Slides from a presentation at FlutterGakkai, a Flutter conference in Japan, showcasing how to integrate Genkit with Flutter for rapid generative AI app development.
Slides from a lightning talk at Google I/O Extended Tokyo 2025, introducing the Dart client library for calling Genkit flows from Flutter/Dart applications.
Video from a lightning talk at Google I/O Extended Tokyo 2025, introducing the Dart client library for calling Genkit flows from Flutter/Dart applications.
Learn how to get started with Genkit/JS 1.0.
A video tutorial on how to get started with Genkit.
Flows are a key concept in Genkit. Learn what makes them special, and how to use them.
Join Pavel as he builds an Angular app and deploys it to Firebase.
Learn how the Genkit developer UI communicates with Genkit through the reflection API.
Learn how to efficiently parse PDFs, convert their content into searchable vectors using Genkit's local vector store, and implement a re-ranker to pinpoint the most relevant documents for your queries.
Hang out with Nohe and Peter to learn more about Genkit, Google's open source AI integration framework. With special guest Pavel Jbanov, lead engineer on the Genkit team.
Learn how to give LLMs superpowers by conneting the to the real world using tool calling.
Learn how to extract structured data from PDFs using Gemini 2.0 and Genkit 1.0.
Explore how to build a weather service using Genkit in Node.js using Express, GitHub Models and Tools.
A step-by-step guide to building Genkit Node.js apps by leveraging Dash Agents.
Firebase project that uses the Gen AI Kit with Gemma using Ollama.
Learn how to integrate Gemma2 with Genkit.
Learn how to implement function calling using Genkit.
Learn how to integrate Python code within Genkit.
Learn how to work with Genkit flows and use the features of Genkit UI.
A guide to 8 architecture patterns for integrating Firebase and AI using Genkit.
Learn how to integrate Google Search with Genkit.
A practical guide to efficient local testing of Firebase Functions with Genkit Firebase product integrations.
A getting started guide for Go developers using Genkit.
Presented in a lightning talk at GDG DevFest Tokyo 2024.
A guide to building an AI image generation app using Flutter, Genkit, and Google's Imagen 3.
Learn how to integrate Google Maps using Genkit MCP client to query MCP servers for enhanced location-based AI features.
A deep dive into the MCP specification, sharing insights gained from implementing the MCP plugin for Genkit Dart.
A comparison of two Google-backed AI frameworks, helping developers choose the right tool for their needs.
A comprehensive guide to using the Dart client library for calling Genkit flows from Flutter and Dart applications with streaming support and type safety.
Learn how to integrate Gemini using Genkit as a Slackbot.
Introduction to RAG, Genkit and using Firebase Firestore as Vector DB.
A tutorial on how to build a Slack Bot App with Genkit.
Official Twitter account for Firebase.
Official Discord server for Genkit.
Plugin for Weaviate Vector Stores.
Official GitHub repository for Genkit Dart.
An unofficial Java SDK for Genkit, providing Java support for building AI-powered applications.
jaywcjlove/awesome-mac
 This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
serhii-londar/open-source-mac-os-apps
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
ramitsurana/awesome-kubernetes
A curated list for awesome kubernetes sources :ship::tada:
sindresorhus/awesome-nodejs
:zap: Delightful Node.js packages and resources [BECAUSE OF TOO MUCH SPAM AND LOW-QUALITY SUBMISSIONS, SUBMISSIONS ARE PAUSED TEMPORARILY]
frenck/awesome-home-assistant
A curated list of amazingly awesome Home Assistant resources.
vsouza/awesome-ios
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects