The landscape of customer engagement is shifting rapidly, and Indian Start-ups are at the forefront of this revolution. Today, having an AI Assisted Website is no longer a luxury—it's an expectation.
When evaluating AI models to power our new customer support widget at MM Tech, we needed a solution that was not only highly performant but also deeply understood the linguistic nuances of the Indian subcontinent. That's when we turned to Sarvam AI.
Why Sarvam AI?
A frequent question we encounter is: "Sarvam AI used by which websites?" The answer is growing daily, particularly among platforms striving for authentic local engagement.
Sarvam AI's core differentiator is its unparalleled support for Indian languages. Backed by initiatives to democratize AI across the country, it allows us to offer real-time, context-aware assistance in 22 regional languages. This capability immediately elevates an ordinary interface into a genuinely accessible, pan-Indian communication channel.
The Technical Stack
Building a seamless, edge-ready chat widget requires a modern stack. Here is what we used:
- Frontend Framework: Next.js 14 App Router for optimized static and dynamic rendering.
- Styling: Tailwind CSS for responsive, pixel-perfect UI components that adapt to our brand design system.
- Icons: Lucide React for crisp, scalable vectors.
- AI Engine: Sarvam AI accessed via our streamlined backend API routes, ensuring API keys remain secure.
Implementation Highlights
1. The UI Component
We built the `ChatWidget.tsx` component to be floating and stateful. Using React's native hooks (`useState`, `useEffect`), we manage the open/close animations and message arrays. We opted for a clean, card-based interface with distinct styles for user and assistant messages, rendering markdown on-the-fly to support rich text responses.
2. Secure API Routing
Security is paramount. By utilizing Next.js API Routes (`/api/chat`), our frontend never exposes the Sarvam AI API tokens. The server acts as a proxy, securely passing the conversation history to the model and streaming the response back to the client.
3. Multilingual by Default
Thanks to Sarvam AI's underlying architecture, we didn't need to build complex translation layers. The model natively processes queries in Hindi, Bengali, Tamil, and more, responding fluidly in the user's chosen language.
The Result: An AI Assisted Website
The outcome is a highly performant, accessible support widget that operates 24/7. Not only has it reduced our initial response time to near-zero, but it also signals our commitment to leveraging cutting-edge technology for better user experiences.
If you're building products for the Indian market, integrating a solution like Sarvam AI isn't just a technical upgrade; it's a strategic differentiator. You can see it in action right now—just click the chat icon in the bottom right corner of this page!
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