Question 1

How do I add a custom AI model to the Chatbot template?

Accepted Answer

Edit the `lib/ai/models.ts` file to add new model configurations or switch to direct provider integrations using the AI SDK, which supports numerous LLMs beyond the default ones like Mistral or xAI.

Question 2

Chatbot template vs building from scratch: which is faster for a startup?

Accepted Answer

The template saves weeks by providing pre-built features like auth and chat history, but building from scratch offers more control and avoids Vercel dependencies, which might be better for long-term flexibility.

Question 3

Can I use Firebase instead of Neon and Vercel Blob for data storage?

Accepted Answer

Yes, but it requires rewriting the data persistence logic since the template is tightly integrated with Neon and Blob; you'll need to replace those services manually in the codebase.

Question 4

How to deploy the Chatbot template to AWS instead of Vercel?

Accepted Answer

While possible, it involves adapting the Next.js app for AWS, setting environment variables manually, and potentially replacing Vercel-specific features like AI Gateway with direct API calls, adding complexity.

Question 5

Is authentication mandatory in the Chatbot template?

Accepted Answer

Auth.js is integrated by default for user management, but you can modify or remove it by editing the authentication components and server actions if you don't need user logins for your use case.

Question 6

What are the costs for running Chatbot on Vercel?

Accepted Answer

Costs depend on usage of Vercel services, AI model APIs, and Neon database; Vercel's free tier covers basics, but production scaling may incur charges for compute, storage, and AI calls.

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