Awesome Genkit

Contents

• Plugins
  • JavaScript - Official
  • JavaScript - Community
  • Python - Official
  • Golang - Official
  • Golang - Community
• Client Libraries
• API References
• Solutions
• Talks
• Videos
• Articles
• Tutorials
• Follow
• Contributors

Plugins

JavaScript - Official

1. Model / Embedding Plugins
   • @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.
   • @genkit-ai/googleai - The Google Generative AI plugin provides interfaces to Google’s Gemini models through the Gemini API.
   • genkitx-ollama - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   • genkitx-pinecone - Plugin for Pinecone Vector Stores.
   • genkitx-chromadb - Plugin for Chroma Vector Stores.
   • @genkit-ai/dev-local-vectorstore - Plugin for Local Vector Store for development purposes.
3. Monitoring Plugins
   • @genkit-ai/google-cloud - The Google Cloud plugin exports Genkit’s telemetry and logging data to Google Cloud’s operation suite.
4. Other Plugins
   • @genkit-ai/firebase - 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.
   • @genkit-ai/express - Express plugin provides an Express middleware for Genkit.

JavaScript - Community

1. Model / Embedding Plugins
   • genkitx-github - Plugin for GitHub Models APIs.
   • genkitx-anthropic - Plugin for Anthropic AI APIs.
   • genkitx-cohere - Plugin for Cohere APIs.
   • genkitx-groq - Plugin for Groq APIs.
   • genkitx-mistral - Plugin for Mistral AI APIs.
   • genkitx-openai - Plugin for OpenAI APIs.
   • genkitx-azure-openai - Plugin for Azure OpenAI APIs.
   • genkitx-aws-bedrock - Plugin for AWS Bedrock APIs.
   • genkitx-deepseek - Plugin for Deepseek Cloud APIs.
   • genkitx-huggingface - Plugin for Hugging Face Inference APIs.
2. Vector Store Plugins
   • genkitx-convex - Plugin for Convex Vector Stores.
   • genkitx-hnsw - Plugin for HNSW Vector Stores.
   • genkitx-qdrant - Plugin for Qdrant Vector Stores.
   • genkitx-astra-db - Plugin for AstraDB Vector Stores.
   • genkitx-pgvector - Plugin for PostgeSQL (PGVector) Vector Stores.
   • genkitx-tidb - Plugin for TiDB Vector Stores.
   • genkitx-redis - Plugin for Redis Vector Stores.
   • genkitx-voiceflow - Plugin for Voiceflow KB.
3. Evaluator Plugins
   • genkitx-promptfoo - Plugin for Promptfoo Evaluations.
4. Other Plugins
   • genkitx-graph - Plugin for building Graph workflows.
   • @invertase/genkit-plugin-redis - A Redis Plugin for Genkit that adds Redis for efficient state storage, trace storage, caching, and rate limiting.
   • genkitx-rxjs - A simple RxJS helper/adapter for Genkit.
   • @agentic/genkit - Agentic Tools adapter for the Genkit SDK.

Python - Official

1. Model / Embedding Plugins
   • google-genai - The Google Generative AI plugin provides interfaces to Google’s Gemini models through the Gemini API & Vertex AI models.
   • ollama - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   • firestore - The Firestore plugin provides interfaces to the Firestore vector store.
   • dev_local_vectorstore - Plugin for Local Vector Store for development purposes.
3. Other Plugins:
   • flask - Flask plugin for building web applications with Genkit.

Golang - Official

1. Model / Embedding Plugins
   • googlegenai - The Google Generative AI plugin provides interfaces to Google’s Gemini models through the Gemini API & Vertex AI Models.
   • ollama - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
2. Vector Store Plugins
   • pinecone - Plugin for Pinecone Vector Stores.
   • localvec - Plugin for Local Vector Store for development purposes.
   • pgvector - Plugin for PostgreSQL (PGVector) Vector Stores.
3. Monitoring Plugins
   • googlecloud - The Google Cloud plugin exports Genkit’s telemetry and logging data to Google Cloud’s operation suite.

Golang - Community

1. Model / Embedding Plugins
   • openai - Plugin for OpenAI APIs.

Client Libraries

Dart - Official

• dart-client-for-genkit - A type-safe Dart client library for calling Genkit flows with streaming support, authentication, and comprehensive error handling.

API References

1. JavaScript - Specs for the JavaScript API.
2. Python - Specs for the Python API.
3. Golang - Specs for the Golang API.

Solutions

• internal AI - An open-source Genkit-based internal AI chat application.

Talks

• Supercharge your app with Genkit - A talk on how to supercharge your app with Genkit.
• Accelerating Generative AI App Development with Flutter & 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.
• Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Slides - 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.
• Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Video - 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.

Videos

• Getting started with Genkit/JS 1.0 - Learn how to get started with Genkit/JS 1.0.
• Getting started with Genkit (outdated) - A video tutorial on how to get started with Genkit.
• What are Genkit flows? (outdated) - Flows are a key concept in Genkit. Learn what makes them special, and how to use them.
• Build an Angular app with Genkit and deploy to Firebase (outdated) - Join Pavel as he builds an Angular app and deploys it to Firebase.
• DeepDive #1 - Genkit’s reflection API and how it powers Genkit’s developer UI (outdated) - Learn how the Genkit developer UI communicates with Genkit through the reflection API.
• Retrieval Augmented Generation (RAG) with Genkit (outdated) - 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.
• Firebase After Hours #3 - Genkit: More than Meets the AI! (outdated) - 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.
• Firebase After Hours #4 - Genkit: Tooltime (outdated) - Learn how to give LLMs superpowers by conneting the to the real world using tool calling.

Articles

• Extracting structured data from PDFs using Gemini 2.0 and Genkit - Learn how to extract structured data from PDFs using Gemini 2.0 and Genkit 1.0.
• Genkit in Node, Building a Weather Service with AI Integration - Explore how to build a weather service using Genkit in Node.js using Express, GitHub Models and Tools.
• Build Genkit Node.js apps with Dash Agents - A step-by-step guide to building Genkit Node.js apps by leveraging Dash Agents.
• Genkit with Gemma using Ollama - Firebase project that uses the Gen AI Kit with Gemma using Ollama.
• Master Gemma2 and Genkit - Learn how to integrate Gemma2 with Genkit.
• Unleash the Power of Function Calling with Genkit - Learn how to implement function calling using Genkit.
• Unlocking the power of code execution in Genkit - Learn how to integrate Python code within Genkit.
• Understanding Genkit flows with Czech language tricks - Learn how to work with Genkit flows and use the features of Genkit UI.
• Orchestrating Firebase and AI: 8 Genkit Architecture Patterns - A guide to 8 architecture patterns for integrating Firebase and AI using Genkit.
• High-Precision Responses with Genkits Google Search Integration - Learn how to integrate Google Search with Genkit.
• How to Develop Firebase functions with Genkit - A practical guide to efficient local testing of Firebase Functions with Genkit Firebase product integrations.
• Genkit for Go Developers: A Guide to Building LLM Applications - A getting started guide for Go developers using Genkit.
• Orchestrating Firebase and AI: Genkit architecture example - Presented in a lightning talk at GDG DevFest Tokyo 2024.
• Getting Started with AI Image Generation Apps on Flutter, Genkit, and Imagen 3 - A guide to building an AI image generation app using Flutter, Genkit, and Google’s Imagen 3.
• Extending Your AI Application with Genkit MCP - Learn how to integrate Google Maps using Genkit MCP client to query MCP servers for enhanced location-based AI features.
• Genkit vs Agent Development Kit (ADK): Choosing the Right Google‑Backed AI Framework - A comparison of two Google-backed AI frameworks, helping developers choose the right tool for their needs.
• Dart Client for Genkit: Call Genkit Flows from Flutter/Dart - A comprehensive guide to using the Dart client library for calling Genkit flows from Flutter and Dart applications with streaming support and type safety.

Tutorials

• Slack Bot App - A tutorial on how to build a Slack Bot App with Genkit.

Follow

• Firebase - Official Twitter account for Firebase.
• Genkit Discord server - Official Discord server for Genkit.
• Genkit GitHub - Official GitHub repository for Genkit.
• The Fire Company - The Fire Company GitHub organization.

Contributors

Thanks goes to these contributors!

firebasegenkit.md Github