203 lines
16 KiB
Plaintext
203 lines
16 KiB
Plaintext
<div align="center">
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<!-- title -->
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<!--lint ignore no-dead-urls-->
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# Awesome Genkit <!-- omit from toc -->
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[](https://awesome.re) [](https://github.com/xavidop/awesome-genkit/actions/workflows/lint.yaml) [](https://www.trackawesomelist.com/xavidop/awesome-genkit/)
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<!-- subtitle -->
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A collection of awesome things regarding the Genkit ecosystem.
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<p align="center">
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<a href="CODE_OF_CONDUCT.md">Code Of Conduct</a>
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<a href="CONTRIBUTING.md">Contribution guide</a>
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<a href="https://github.com/xavidop/awesome-genkit/graphs/contributors">Contributors</a>
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</p>
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<!-- image -->
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<picture>
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<source media="(prefers-color-scheme: light)" srcset="/assets/genkit-logo.png">
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<source media="(prefers-color-scheme: dark)" srcset="/assets/genkit-logo-dark.png">
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<img alt="Shows an illustrated sun in light mode and a moon with stars in dark mode." src="/assets/genkit-logo.png">
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</picture>
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<!-- description -->
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Genkit is a framework designed to help you build AI-powered applications and features. It provides open source libraries for Node.js and Go, plus developer tools for testing and debugging.
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</div>
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<!-- TOC -->
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## Contents <!-- omit from toc -->
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- [Plugins](#plugins)
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- [JavaScript - Official](#javascript---official)
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- [JavaScript - Community](#javascript---community)
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- [Python - Official](#python---official)
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- [Golang - Official](#golang---official)
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- [Golang - Community](#golang---community)
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- [Client Libraries](#client-libraries)
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- [API References](#api-references)
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- [Solutions](#solutions)
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- [Talks](#talks)
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- [Videos](#videos)
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- [Articles](#articles)
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- [Tutorials](#tutorials)
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- [Follow](#follow)
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- [Contributors](#contributors)
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<!-- CONTENT -->
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## Plugins
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### JavaScript - Official
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1. Model / Embedding Plugins
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- [`@genkit-ai/vertexai`](https://firebase.google.com/docs/genkit/plugins/vertex-ai) - 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.
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- [`@genkit-ai/googleai`](https://firebase.google.com/docs/genkit/plugins/google-genai) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API.
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- [`genkitx-ollama`](https://firebase.google.com/docs/genkit/plugins/ollama) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
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2. Vector Store Plugins
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- [`genkitx-pinecone`](https://firebase.google.com/docs/genkit/plugins/pinecone) - Plugin for Pinecone Vector Stores.
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- [`genkitx-chromadb`](https://firebase.google.com/docs/genkit/plugins/chroma) - Plugin for Chroma Vector Stores.
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- [`@genkit-ai/dev-local-vectorstore`](https://firebase.google.com/docs/genkit/rag) - Plugin for Local Vector Store for development purposes.
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3. Monitoring Plugins
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- [`@genkit-ai/google-cloud`](https://www.npmjs.com/package/@genkit-ai/google-cloud) - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.
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4. Other Plugins
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- [`@genkit-ai/firebase`](https://firebase.google.com/docs/genkit/plugins/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.
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- [`@genkit-ai/express`](https://www.npmjs.com/package/@genkit-ai/express) - Express plugin provides an Express middleware for Genkit.
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### JavaScript - Community
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1. Model / Embedding Plugins
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- [`genkitx-github`](https://github.com/xavidop/genkitx-github) - Plugin for GitHub Models APIs.
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- [`genkitx-anthropic`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/anthropic) - Plugin for Anthropic AI APIs.
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- [`genkitx-cohere`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/cohere) - Plugin for Cohere APIs.
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- [`genkitx-groq`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/groq) - Plugin for Groq APIs.
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- [`genkitx-mistral`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/mistral) - Plugin for Mistral AI APIs.
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- [`genkitx-openai`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/openai) - Plugin for OpenAI APIs.
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- [`genkitx-azure-openai`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/azure-openai) - Plugin for Azure OpenAI APIs.
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- [`genkitx-aws-bedrock`](https://github.com/xavidop/genkitx-aws-bedrock) - Plugin for AWS Bedrock APIs.
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- [`genkitx-deepseek`](https://github.com/oddbit/genkitx-deepseek) - Plugin for Deepseek Cloud APIs.
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- [`genkitx-huggingface`](https://github.com/xavidop/genkitx-huggingface) - Plugin for Hugging Face Inference APIs.
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2. Vector Store Plugins
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- [`genkitx-convex`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/convex) - Plugin for Convex Vector Stores.
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- [`genkitx-hnsw`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/hnsw) - Plugin for HNSW Vector Stores.
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- [`genkitx-qdrant`](https://github.com/qdrant/qdrant-genkit) - Plugin for Qdrant Vector Stores.
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- [`genkitx-astra-db`](https://www.npmjs.com/package/genkitx-astra-db) - Plugin for AstraDB Vector Stores.
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- [`genkitx-pgvector`](https://www.npmjs.com/package/genkitx-pgvector) - Plugin for PostgeSQL (PGVector) Vector Stores.
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- [`genkitx-tidb`](https://github.com/BelfoSamad/genkitx-tidb) - Plugin for TiDB Vector Stores.
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- [`genkitx-redis`](https://github.com/retzd-tech/genkitx-redis) - Plugin for Redis Vector Stores.
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- [`genkitx-voiceflow`](https://github.com/xavidop/genkitx-voiceflow) - Plugin for Voiceflow KB.
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3. Evaluator Plugins
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- [`genkitx-promptfoo`](https://github.com/yukinagae/genkitx-promptfoo) - Plugin for Promptfoo Evaluations.
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4. Other Plugins
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- [`genkitx-graph`](https://github.com/TheFireCo/genkit-plugins/tree/main/plugins/graph) - Plugin for building Graph workflows.
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- [`@invertase/genkit-plugin-redis`](https://github.com/invertase/genkit-plugin-redis) - A Redis Plugin for Genkit that adds Redis for efficient state storage, trace storage, caching, and rate limiting.
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- [`genkitx-rxjs`](https://github.com/pavelgj/genkitx-rxjs) - A simple RxJS helper/adapter for Genkit.
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- [`@agentic/genkit`](https://agentic.so/sdks/genkit) - Agentic Tools adapter for the Genkit SDK.
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### Python - Official
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1. Model / Embedding Plugins
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- [`google-genai`](https://python.api.genkit.dev/reference/plugins/google-genai/) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI models.
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- [`ollama`](https://python.api.genkit.dev/reference/plugins/ollama/) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
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2. Vector Store Plugins
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- [`firestore`](https://python.api.genkit.dev/reference/plugins/firestore/) - The Firestore plugin provides interfaces to the Firestore vector store.
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- [`dev_local_vectorstore`](https://python.api.genkit.dev/reference/plugins/dev-local-vectorstore/) - Plugin for Local Vector Store for development purposes.
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3. Other Plugins:
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- [`flask`](https://python.api.genkit.dev/flask/) - Flask plugin for building web applications with Genkit.
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### Golang - Official
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1. Model / Embedding Plugins
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- [`googlegenai`](https://firebase.google.com/docs/genkit-go/plugins/google-genai) - The Google Generative AI plugin provides interfaces to Google's Gemini models through the Gemini API & Vertex AI Models.
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- [`ollama`](https://firebase.google.com/docs/genkit-go/plugins/ollama) - The Ollama plugin provides interfaces to any of the local LLMs supported by Ollama.
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2. Vector Store Plugins
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- [`pinecone`](https://firebase.google.com/docs/genkit-go/plugins/pinecone) - Plugin for Pinecone Vector Stores.
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- [`localvec`](https://firebase.google.com/docs/genkit-go/rag) - Plugin for Local Vector Store for development purposes.
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- [`pgvector`](https://firebase.google.com/docs/genkit-go/pgvector) - Plugin for PostgreSQL (PGVector) Vector Stores.
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3. Monitoring Plugins
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- [`googlecloud`](https://firebase.google.com/docs/genkit-go/plugins/google-cloud) - The Google Cloud plugin exports Genkit's telemetry and logging data to Google Cloud's operation suite.
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### Golang - Community
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1. Model / Embedding Plugins
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- [`openai`](https://pkg.go.dev/github.com/yukinagae/genkit-go-plugins/plugins/openai) - Plugin for OpenAI APIs.
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## Client Libraries
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### Dart - Official
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- [`dart-client-for-genkit`](https://pub.dev/packages/genkit) - A type-safe Dart client library for calling Genkit flows with streaming support, authentication, and comprehensive error handling.
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## API References
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1. [JavaScript](https://js.api.genkit.dev/) - Specs for the JavaScript API.
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2. [Python](https://python.api.genkit.dev/) - Specs for the Python API.
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3. [Golang](https://pkg.go.dev/github.com/firebase/genkit/go) - Specs for the Golang API.
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## Solutions
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- [`internal AI`](https://github.com/tanabee/internal-ai) - An open-source Genkit-based internal AI chat application.
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## Talks
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- [Supercharge your app with Genkit](https://www.youtube.com/watch?v=eVud8llb_W0) - A talk on how to supercharge your app with Genkit.
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- [Accelerating Generative AI App Development with Flutter & Genkit](https://speakerdeck.com/coborinai/accelerating-generative-ai-app-development-with-flutter-and-firebase-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.
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- [Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Slides](https://speakerdeck.com/coborinai/dart) - 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.
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- [Dart client for Genkit: Call Genkit Flows from Flutter/Dart - Video](https://youtu.be/AakdczWQLzY?si=S5aT29miICHWQepM) - 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.
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## Videos
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- [Getting started with Genkit/JS 1.0](https://www.youtube.com/watch?v=3p1P5grjXIQ) - Learn how to get started with Genkit/JS 1.0.
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- [Getting started with Genkit (outdated)](https://www.youtube.com/watch?v=M8rfDySBBvM) - A video tutorial on how to get started with Genkit.
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- [What are Genkit flows? (outdated)](https://youtu.be/ONR38NZK5FE) - Flows are a key concept in Genkit. Learn what makes them special, and how to use them.
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- [Build an Angular app with Genkit and deploy to Firebase (outdated)](https://youtu.be/TGHua_RtUjs) - Join Pavel as he builds an Angular app and deploys it to Firebase.
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- [DeepDive #1 - Genkit's reflection API and how it powers Genkit's developer UI (outdated)](https://youtu.be/CGVBR8quZac) - Learn how the Genkit developer UI communicates with Genkit through the reflection API.
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- [Retrieval Augmented Generation (RAG) with Genkit (outdated)](https://youtu.be/p8ZlYAmbWHE) - 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.
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- [Firebase After Hours #3 - Genkit: More than Meets the AI! (outdated)](https://youtu.be/VFPsp7aURWA?t=152s) - 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.
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- [Firebase After Hours #4 - Genkit: Tooltime (outdated)](https://youtu.be/01XOIhh2ibA) - Learn how to give LLMs superpowers by conneting the to the real world using tool calling.
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## Articles
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- [Extracting structured data from PDFs using Gemini 2.0 and Genkit](https://firebase.blog/posts/2025/02/gemini-genkit-pdf-structured-data) - Learn how to extract structured data from PDFs using Gemini 2.0 and Genkit 1.0.
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- [Genkit in Node, Building a Weather Service with AI Integration](https://xavidop.me/firebase/gcp/2025-02-28-firebase-genkit-node-tool/) - Explore how to build a weather service using Genkit in Node.js using Express, GitHub Models and Tools.
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- [Build Genkit Node.js apps with Dash Agents](https://medium.com/firebase-developers/build-firebase-genkit-nodejs-apps-with-dash-agents-skip-the-docs-258e067b3fdc) - A step-by-step guide to building Genkit Node.js apps by leveraging Dash Agents.
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- [Genkit with Gemma using Ollama](https://xavidop.me/firebase/gcp/2024-05-24-firebase-genkit-ollama/) - Firebase project that uses the Gen AI Kit with Gemma using Ollama.
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- [Master Gemma2 and Genkit](https://medium.com/firebase-developers/how-to-develop-using-the-gemma2-model-in-genkit-085f22ce68f3) - Learn how to integrate Gemma2 with Genkit.
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- [Unleash the Power of Function Calling with Genkit](https://medium.com/firebase-developers/implementing-function-calling-using-genkit-0c03f6cb9179) - Learn how to implement function calling using Genkit.
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- [Unlocking the power of code execution in Genkit](https://medium.com/firebase-developers/getting-started-with-code-execution-in-genkit-c5391b45b321) - Learn how to integrate Python code within Genkit.
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- [Understanding Genkit flows with Czech language tricks](https://dev.to/denisvalasek/understanding-genkit-flows-with-czech-language-tricks-26i3) - Learn how to work with Genkit flows and use the features of Genkit UI.
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- [Orchestrating Firebase and AI: 8 Genkit Architecture Patterns](https://medium.com/@nozomi-koborinai/orchestrating-firebase-and-ai-8-genkit-architecture-patterns-12e44db40345) - A guide to 8 architecture patterns for integrating Firebase and AI using Genkit.
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- [High-Precision Responses with Genkits Google Search Integration](https://medium.com/firebase-developers/high-precision-responses-with-genkits-google-search-integration-7f142f5c9693) - Learn how to integrate Google Search with Genkit.
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- [How to Develop Firebase functions with Genkit](https://medium.com/@nozomi-koborinai/how-to-develop-firebase-genkit-functions-2677b386a227) - A practical guide to efficient local testing of Firebase Functions with Genkit Firebase product integrations.
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- [Genkit for Go Developers: A Guide to Building LLM Applications](https://medium.com/@yukinagae/firebase-genkit-for-go-developers-a-guide-to-building-llm-applications-f96c51c34b10) - A getting started guide for Go developers using Genkit.
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- [Orchestrating Firebase and AI: Genkit architecture example](https://docs.google.com/presentation/d/10F2hjzJhdInSuhDQ8G_B2raGz79mzTRIcWU_59Zh5Y8/edit?usp=sharing) - Presented in a lightning talk at GDG DevFest Tokyo 2024.
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- [Getting Started with AI Image Generation Apps on Flutter, Genkit, and Imagen 3](https://medium.com/@nozomi-koborinai/getting-started-with-ai-image-generation-apps-on-flutter-genkit-and-imagen-3-9a83c63cbdf3) - A guide to building an AI image generation app using Flutter, Genkit, and Google's Imagen 3.
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- [Extending Your AI Application with Genkit MCP](https://medium.com/@nozomi-koborinai/extending-your-ai-application-with-genkit-mcp-475d7533ca9e) - Learn how to integrate Google Maps using Genkit MCP client to query MCP servers for enhanced location-based AI features.
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- [Genkit vs Agent Development Kit (ADK): Choosing the Right Google‑Backed AI Framework](https://medium.com/@nozomi-koborinai/genkit-vs-agent-development-kit-adk-choosing-the-right-google-backed-ai-framework-1744b73234ac) - A comparison of two Google-backed AI frameworks, helping developers choose the right tool for their needs.
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- [Dart Client for Genkit: Call Genkit Flows from Flutter/Dart](https://medium.com/@nozomi-koborinai/dart-client-for-genkit-call-genkit-flows-from-flutter-dart-b5a2c9b9400e) - A comprehensive guide to using the Dart client library for calling Genkit flows from Flutter and Dart applications with streaming support and type safety.
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## Tutorials
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- [Slack Bot App](https://medium.com/firebase-developers/build-a-slack-bot-app-with-firebase-genkit-in-just-100-lines-71d4e49c9e08) - A tutorial on how to build a Slack Bot App with Genkit.
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<!-- END CONTENT -->
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## Follow
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<!-- list people worth following on social sites (Twitter, LinkedIn, GitHub, YouTube etc.) -->
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- [Firebase](https://x.com/firebase) - Official Twitter account for Firebase.
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- [Genkit Discord server](https://discord.gg/qXt5zzQKpc) - Official Discord server for Genkit.
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- [Genkit GitHub](https://github.com/firebase/genkit) - Official GitHub repository for Genkit.
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- [The Fire Company](https://github.com/TheFireCo) - The Fire Company GitHub organization.
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## Contributors
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[Thanks goes to these contributors](https://github.com/xavidop/awesome-genkit/graphs/contributors)!
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[firebasegenkit.md Github](https://github.com/xavidop/awesome-firebase-genkit
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)
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