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Suhas Bhairav Multimodal Chat Next.js image chatbot template interface
AI Chatbot Template

Suhas Bhairav Multimodal Chat

Suhas Bhairav Multimodal Chat is a polished Next.js AI chatbot template for builders who want image-aware conversations through OpenRouter. It accepts a text prompt plus an image URL, sends multimodal chat content to a vision-language model, streams natural-language image explanations, and keeps the app shell locked to the viewport with an internal scrolling transcript. Use it for visual Q&A demos, product prototypes, AI assistant experiments, support tools, or image understanding workflows.

Direct answer

Suhas Bhairav Multimodal Chat is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Download on GitHub View repository Explore AI Lab
Google Gemini Google Gemma OpenRouter

Features

Streaming image explanations
Text plus image URL input
Vision-language model route
Server-side API route
Responsive mobile interface
Internal chat transcript scrolling
Stop generation control

Use cases

Visual Q&A chatbotImage understanding demoAI assistant SaaSSupport screenshot analysisProduct prototype

Freshness and tested metadata

last Tested
Jul 12, 2026
last Updated
Jul 12, 2026
next Version
Next.js 16.2.1
node Version
Node.js 20+
runtime
Next.js App Router
deployment
Vercel-ready starter
license
MIT
status
Open Source

Architecture

Next.js App Router page for the user-facing interface.
React components for the responsive chat, workflow, or document interaction surface.
Server-side route for AI provider calls so credentials stay outside the browser.
Tailwind CSS styling for a mobile-ready interface.
Retrieval layer for chunking, embeddings, evidence selection, and cited answer generation.
Agent workflow layer for prompt transformation, research, handoffs, and inspectable intermediate outputs.
Realtime session layer for WebRTC audio, ephemeral client secrets, live transcript rendering, and interruption handling.
OpenRouter SDK integration for multi-model routing, streaming responses, and model-specific experimentation.
Vision-language request path for text plus image input and image-grounded responses.

Setup path

  1. 1Clone the GitHub repository linked above.
  2. 2Install dependencies with npm install.
  3. 3Create a local environment file from the example variables.
  4. 4Add the required AI provider API key on the server side.
  5. 5Run the local Next.js development server and test the primary workflow.

Related AI template categories

Next.js AI chatbot templates RAG chatbot templates for Next.js OpenAI Agents SDK templates Voice AI agent templates Multimodal chatbot templates OpenRouter chatbot templates Next.js OpenAI templates ChatGPT clone templates

Internal template pathways

AI Templates OpenRouter Free Chatbot GPT OSS Chatbot RAG Chatbot

Frequently asked questions

What is Suhas Bhairav Multimodal Chat?

Suhas Bhairav Multimodal Chat is a Next.js RAG chatbot template for document Q&A, OpenAI embeddings, retrieval augmented generation, and AI chatbot answers with citations. It is best for knowledge-base assistants, support documentation bots, document intelligence apps, and internal research copilots.

Who should use Suhas Bhairav Multimodal Chat?

Use Suhas Bhairav Multimodal Chat if you are a Next.js developer, AI product builder, applied AI engineer, or founder looking for an open-source AI app starter instead of rebuilding the same AI interface and server route from scratch.

Is Suhas Bhairav Multimodal Chat production-ready?

This starter is production-grade in its AI safety baseline: prompts are hardened against prompt-injection attempts, provider calls stay server-side, unsafe inputs are constrained, and client-facing errors are kept safe. You should still expand it for your use case by adding or adapting authentication, tenant isolation, persistent storage, observability, quotas, billing, and business-specific policy checks before a real launch.