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ai-sdk

Develop AI features with the Vercel AI SDK for text generation and streaming.

Updated Jun 26, 2022
Search Tags:#developer tools#ai#llm#rag#sdk#agent#chatbot
One-click install
npx skills add https://github.com/xlsama/use --skill ai-sdk-xlsama
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-sdk
Source: https://github.com/xlsama/use/tree/main/config/agents/skills/ai-sdk
Command: npx skills add https://github.com/xlsama/use --skill ai-sdk-xlsama

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers integrate advanced AI capabilities into their applications, simplifying the process of building AI-powered features like chatbots, agents, and text generation tools.

Core Features & Use Cases

  • AI SDK Integration: Provides guidance on using the Vercel AI SDK for various AI tasks.
  • Agent Development: Assists in building AI agents, chatbots, and Retrieval-Augmented Generation (RAG) systems.
  • Provider Support: Offers information on working with different AI providers (OpenAI, Anthropic, Google) and features like streaming, tool calling, and embeddings.
  • Use Case: A developer wants to add a chatbot to their website that can answer user questions by referencing their documentation. This Skill guides them through setting up the AI SDK, defining tools, and integrating it with their frontend using React hooks.

Quick Start

Use the ai-sdk skill to help me add AI chat functionality to my React application.

Frequently Asked Questions about ai-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate AI chat functionality into my React application?▼

To integrate AI chat functionality, you use the Vercel AI SDK with React hooks to connect your frontend to multiple AI providers, enabling streaming text generation and tool calling. This Skill guides you through setting up the required components and defining tools.

What is the best way to build a Retrieval-Augmented Generation (RAG) system with JavaScript?▼

Building a RAG system with JavaScript involves using the Vercel AI SDK to generate embeddings and define tools that reference your documentation. This approach allows an AI agent to accurately answer user questions based on your specific data.

Does the Vercel AI SDK support multiple AI providers like OpenAI and Anthropic?▼

Yes, the Vercel AI SDK supports integration with multiple AI providers, including OpenAI, Anthropic, and Google. This allows you to seamlessly switch between different models for text generation, streaming, and embeddings within your application.

What prerequisites do I need to build AI agents with the Vercel AI SDK?▼

Building AI agents with the Vercel AI SDK requires an understanding of JavaScript and TypeScript, familiarity with React hooks for frontend integration, and knowledge of AI concepts like tool calling, streaming, and embeddings.

How do I add tool calling capabilities to an AI chatbot?▼

To add tool calling capabilities to an AI chatbot, you use the Vercel AI SDK to define specific tools the agent can invoke. This allows the chatbot to reference external documentation or perform actions beyond standard text generation during a conversation.

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