Workers AI

What problem does it solve?

This Skill helps developers deploy and orchestrate AI workloads at the edge using Cloudflare Workers, enabling low-latency AI inference, embeddings, and Retrieval Augmented Generation (RAG).

Core Features & Use Cases

• Edge AI Inference: Run AI models at the network edge, reducing latency for interactive apps.
• Embeddings & Retrieval: Generate embeddings and perform vector search to build RAG workflows across distributed data sources.
• Guided Integration: Patterns and best practices for integrating AI Gateway, memory modules, and observability into worker-based apps.
• Use Case: Real-time chat, on-edge document search, and moderation workflows that require quick, privacy-preserving processing.

Quick Start

Deploy a minimal Worker that calls an AI model and returns a response from an embedding-enabled vector store. Then configure a simple vector search to provide relevant context for the generated answer, deploy to Cloudflare Workers, and test with a sample query.