This repository provides a template for building an internal knowledge base using Vercel's AI SDK and Next.js. It demonstrates retrieval-augmented generation (RAG) and guardrail enforcement for AI applications, targeting developers building AI-powered internal tools.

How It Works

The project leverages the AI SDK's Language Model Middleware to integrate with various AI providers. It facilitates RAG by enabling the retrieval of relevant information from a knowledge base to augment LLM responses, and implements guardrails to control AI behavior and ensure safe, relevant outputs.

Quick Start & Requirements

• Install: npx create-next-app --example https://github.com/vercel-labs/ai-sdk-preview-internal-knowledge-base ai-sdk-preview-internal-knowledge-base-example
• Prerequisites: Accounts and API keys for AI providers (e.g., OpenAI, Anthropic), Node.js environment.
• Setup: Requires setting environment variables from .env.example to .env and running npm install.
• Learn More: AI SDK Documentation, Next.js Documentation

Highlighted Details

• Demonstrates retrieval-augmented generation (RAG).
• Enforces guardrails for AI applications.
• Built with Vercel AI SDK and Next.js.

Maintenance & Community

This is a Vercel Labs project, indicating potential for integration with Vercel's ecosystem. Further community or maintenance details are not provided in the README.

Licensing & Compatibility

The repository's license is not specified in the README. Compatibility for commercial use or closed-source linking would require clarification of the license.

Limitations & Caveats

The project is presented as a preview and internal template, suggesting it may not be production-ready. Specific AI provider integrations and guardrail configurations are left to the user to implement based on their chosen providers and requirements.