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SDK vercel

Discover how the Vercel AI SDK can streamline AI integration with support from top providers like OpenAI and Google. Flexible and versatile for varied development needs.

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SDK vercel

SDK vercel's Top Features

Support for major AI service providers
Community provider integrations
Compatibility with various JavaScript frameworks
Front-end and back-end development tools
Image input and object generation capabilities
Tool usage and tool streaming
Generation and streaming of structured data
Scalable for enterprise use
Advanced NLP features
Analytics and marketing integrations

Frequently asked questions about SDK vercel

The Vercel AI SDK supports providers such as OpenAI, Azure, Anthropic, Amazon Bedrock, Google Generative AI, Google Vertex AI, Mistral, Cohere, Groq, Perplexity, Fireworks, LLamaCpp, Ollama, and Chrome AI.

Projects that require natural language processing, image recognition, personalized recommendations, and AI-driven tools can benefit from using the Vercel AI SDK.

Yes, the SDK includes community providers such as LLamaCpp, Ollama, and Chrome AI, which have been created using the Language Model Specification.

The SDK is compatible with frameworks and environments like Typescript, Javascript, Node.js, Next.js, and more.

Yes, the Vercel AI SDK provides tools and infrastructure suitable for both front-end and back-end development.

Key features include support for image input, object generation, tool usage, and tool streaming among different models.

Absolutely, the SDK is designed to support large-scale applications and is trusted by leading companies like OpenAI and Pinecone.

Yes, generating and streaming structured data are among the capabilities of the Vercel AI SDK.

Functionalities like chatbots, generative user interfaces, state management, OpenAI assistants, and more can be integrated using the SDK.

Yes, the Vercel AI SDK supports analytics and marketing integrations to help improve user experiences and targeted advertising.

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