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Overview
Get started
Developer tools
Building AI workflows
Creating flows
Generating content
Tool calling
Implementing Agentic Patterns
Managing prompts with Dotprompt
Passing information through context
Pause generation using interrupts
Creating persistent chat sessions
Model Context Protocol (MCP)
Retrieval-augmented generation (RAG)
Building multi-agent systems
Error types
Evaluation
Local observability and metrics
Build with AI
Genkit MCP server
AI-assisted development
Tutorials
Chat with a PDF
Summarize YouTube videos
Model providers
Google Generative AI
Google Vertex AI
OpenAI
OpenAI-Compatible APIs
Anthropic (Claude)
AWS Bedrock
Azure AI Foundry
xAI (Grok)
DeepSeek
Ollama
Database providers
MCP Toolbox for Databases
Dev local vector store
Pinecone
Chroma
pgvector
LanceDB
Astra DB
Neo4j
AlloyDB for PostgreSQL
Cloud SQL PostgreSQL
Cloud Firestore
Vertex AI Vector Search with BigQuery
Vertex AI Vector Search with Firestore
Web framework integrations
Express.js
Next.js
Angular
FastAPI
Shelf
Flutter
Deployment
Firebase
Cloud Run
Azure Functions
AWS Lambda
Any platform
Client app integration
Authorization
Authorization & Integrity
Auth0 AI
Writing plugins
Overview
Observability and monitoring
Getting started
Authentication
Telemetry collection
Advanced configuration
Troubleshooting
Google Cloud plugin
Reference
API references
API stability
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Genkit follows
semantic versioning
guidelines for version updates.
