genkit

Genkit coordinates multi-agent teams by providing built-in tool calling and orchestration mechanisms, allowing multiple AI agents to interact and execute end-to-end automation tasks within a single structured workflow.

Yes, you can deploy RAG pipelines directly to Firebase Cloud Functions or Cloud Run. Genkit supports these deployment targets alongside vector store integration, enabling scalable production use of your retrieval-augmented generation workflows.

The best way to manage prompts and observe AI pipeline behavior is using Genkit's built-in Dev UI tooling, which provides observability and evaluation capabilities for your orchestrated AI workflows during development and testing.

Yes, integrating vector stores for RAG workflows requires using Genkit plugins. These plugins facilitate the connection between your orchestration flows and the vector store, enabling seamless retrieval-augmented generation capabilities.

You should use flow-based orchestration for multi-step AI pipelines when you need type-safe schemas, multi-agent coordination, and reliable tool calling to ensure robust execution of complex, end-to-end automation tasks.