RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
Frontend
React
Component-driven UIs for AI products, dashboards, and SaaS platforms
18M+Weekly npm downloads
200K+Component libraries
React 19Latest stable release
~16msTarget frame render
HOW WE USE IT
React in our stack
We build React applications for AI product frontends, data dashboards, and SaaS platforms. Our React work is TypeScript-first, performance-engineered, and built with component libraries that your team can extend after handoff.
CAPABILITIES
What we deliver
- TypeScript-first React development
- Component libraries with Storybook documentation
- State management with Zustand or Redux Toolkit
- Real-time UIs with WebSockets and SSE
- React Query for server state management
- Streaming UI for LLM response display
USE CASES
How we apply React
AI Chat Interface
Streaming chat UI with message history, tool call visualization, and confidence score display.
Analytics Dashboard
Real-time data dashboard with recharts/D3 visualizations, filter state management, and CSV export.
SaaS Application Shell
Multi-tenant SaaS application with role-based UI, team management, and subscription-aware components.
Engineering Stack
Built with the tools that matter
38 production-grade technologies — every one battle-tested in shipped products.
Frequently Asked Questions
Didn't find what you were searching for? Reach out to us at [email protected] and we'll assist you promptly.
React has the largest ecosystem, the widest talent pool, and the most mature component library ecosystem. Its composable architecture makes it the best choice when building complex UIs with many reusable components, when using a Next.js-based stack for SSR/SSG, or when integrating with an existing React Native mobile codebase. Vue is simpler for smaller teams. Angular is preferred in large enterprise teams with strict architectural conventions. React is our default for AI-embedded products where UI complexity typically grows quickly.
A production React application at scale includes: a component library with documented design tokens, React Query or SWR for server state management, Zustand or Jotai for client state, a testing suite (Vitest, Testing Library, Playwright), Storybook for component documentation, a bundle size budget with code splitting, and performance monitoring with Core Web Vitals tracking. We build with TypeScript by default and ship with CI/CD pipelines that enforce lint, test, and build quality gates.
A production React web application with authentication, core features, and backend integration typically takes 8-14 weeks. Simpler single-feature applications can ship in 4-8 weeks. Complex data-heavy dashboards with real-time updates and advanced UI interactions run 12-20 weeks. We deliver incrementally with working software at each sprint — you see progress every week.
FROM OUR CLIENTS
Built with teams who ship
The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
Insights
From our engineering blog
A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.
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Building Recommendation Systems That Actually Convert
Most product recommendation engines underperform because they optimize for click-through rather than purchase intent. Here's the architecture that changes that.
SERVICES THAT USE REACT
Related service offerings
GET STARTED
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