Gemini Chatbot (Vercel)

Dependency freshness

Declared = lowest version the kit's dependency file (package.json, pyproject.toml or requirements.txt) allows. Latest = the npm "latest" tag or the newest PyPI release. TypeScript, the Stripe SDK, FastAPI and other 0.x packages are shown but not counted in the verdict.

What's in the stack

Framework

Next.js

Auth

Auth.js

Database / ORM

Drizzle, Vercel Postgres, Postgres.js

UI

Tailwind CSS, Radix UI

AI

Vercel AI SDK

Monitoring

Vercel Analytics

Detected from declared dependencies. A listed package means it's installed, not necessarily fully wired up.

What the README says you get

• AI
  Multi-provider LLM supportSupports Google (default), OpenAI, Anthropic, Cohere, and other model providers
• AI
  Unified AI SDK APIUnified API for generating text, structured objects, and tool calls with LLMs
• AI
  Default Gemini modelships with Google Gemini `gemini-1.5-pro` models as the default
• Auth
  NextAuth.js authenticationSimple and secure authentication
• Data
  Chat history persistenceVercel Postgres powered by Neon for saving chat history and user data
• Deploy
  One-click Vercel deploydeploy your own version of the Next.js AI Chatbot to Vercel with one click
• Other
  Blob object storageVercel Blob for efficient object storage
• UI
  Generative UI hooksHooks for building dynamic chat and generative user interfaces
• UI
  shadcn/ui componentsComponent primitives from Radix UI for accessibility and flexibility
• UI
  Tailwind CSS stylingStyling with Tailwind CSS
• UI
  Next.js App RouterAdvanced routing for seamless navigation and performance
• UI
  Server Components and ActionsReact Server Components (RSCs) and Server Actions for server-side rendering

Extracted from the kit's README by a local AI model (deepseek-flash) on Sep 29, 2026. Every item is checked against an exact README quote. A README claim is the maker's description, not something we tested.