Does it support streaming responses?

Yes, the skill includes implementation patterns for streaming LLM responses to reduce time-to-first-token and improve user experience.

Can this skill help with RAG (Retrieval Augmented Generation)?

Yes, it provides specific patterns for text chunking, generating embeddings, and querying vector databases like Vectorize to build robust RAG systems.

How does this skill help optimize AI costs?

It provides guidance on model selection, implementing caching through KV or AI Gateway, and using batch processing for embeddings to reduce inference costs.

Which models does the Workers AI skill support?

It supports a wide range of models available on Cloudflare, including Llama 3.1, Mistral, BAAI embeddings, Stable Diffusion for images, and Whisper for speech-to-text.

Workers AI Expert

Name: Workers AI Expert
Author: involvex

byinvolvex

データサイエンスとML

Deploys and optimizes serverless AI models, embedding generation, and RAG architectures directly on Cloudflare’s edge network.

概要

The Workers AI skill empowers developers to build and scale sophisticated AI-driven applications using Cloudflare's serverless infrastructure. It provides deep expertise in selecting the right models (like Llama 3.1 or BGE embeddings), implementing Retrieval Augmented Generation (RAG) with Vectorize, and managing AI workloads via AI Gateway. Whether you are building intelligent chatbots, semantic search engines, or automated image generation tools, this skill ensures best practices for performance, cost-efficiency, and seamless integration with the Cloudflare ecosystem.

主な機能

AI Gateway integration for caching, rate limiting, and analytics
Multi-modal capabilities including Image Generation, Vision, and Speech models
Advanced Text Generation using Llama 3.1 and Mistral
0 GitHub stars
End-to-end RAG (Retrieval Augmented Generation) implementation patterns
High-performance Embedding generation for semantic search

ユースケース

Implementing semantic search and document retrieval systems using Vectorize
Building serverless AI assistants and chatbots at the edge
Optimizing AI inference costs and performance via AI Gateway and model right-sizing

概要

主な機能

AI Gateway integration for caching, rate limiting, and analytics
Multi-modal capabilities including Image Generation, Vision, and Speech models
Advanced Text Generation using Llama 3.1 and Mistral
0 GitHub stars
End-to-end RAG (Retrieval Augmented Generation) implementation patterns
High-performance Embedding generation for semantic search

ユースケース

Implementing semantic search and document retrieval systems using Vectorize
Building serverless AI assistants and chatbots at the edge
Optimizing AI inference costs and performance via AI Gateway and model right-sizing