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.
Backend
Node.js
Real-time APIs, WebSocket servers, and event-driven Node.js backends
1M+Req/sec throughput possible
2M+npm packages available
Non-blockingEvent-driven I/O model
V8Google Chrome JS engine
HOW WE USE IT
Node.js in our stack
We build Node.js backends for real-time applications, API gateways, and event-driven systems. Express, Fastify, or tRPC — we choose the right framework for your latency and throughput requirements and type the entire surface area with TypeScript.
CAPABILITIES
What we deliver
- Express and Fastify REST API development
- tRPC for end-to-end typesafe APIs
- WebSocket servers for real-time features
- GraphQL with Apollo Server
- Bull/BullMQ job queues
- Prisma ORM with PostgreSQL/MySQL
USE CASES
How we apply Node.js
Real-time Chat Backend
WebSocket server handling thousands of concurrent connections with Redis pub/sub for multi-server scaling.
API Gateway
Fastify-based API gateway with rate limiting, auth middleware, and request routing to microservices.
Webhook Processor
Event-driven BullMQ worker system processing Stripe, GitHub, and custom webhooks with retry logic.
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.
Node.js excels for real-time APIs, event-driven architectures, and JavaScript-stack teams where sharing types or logic between frontend and backend matters. Its non-blocking I/O makes it efficient for high-concurrency scenarios with many simultaneous connections. We choose Node.js for real-time features (WebSocket, SSE), BFF (Backend for Frontend) layers, and when the engineering team is JavaScript-native. We choose Python when the backend handles ML inference or data pipelines, and Go for high-throughput services where CPU efficiency is critical.
A production Node.js backend includes: Express or Fastify with structured route organization, Zod or Joi for request validation, Prisma or Knex for database access, Bull or BullMQ for job queues, Redis for caching, Winston or Pino for structured logging, Jest for testing with coverage enforcement, and Docker-based deployment on Kubernetes or ECS with health checks and graceful shutdown.
A production Node.js REST API with authentication, CRUD operations, and a PostgreSQL backend typically takes 6-10 weeks. Real-time APIs with WebSocket support and complex event processing take 8-14 weeks. Microservices architectures with multiple services and inter-service communication run 12-20 weeks depending on service count.
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
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SERVICES THAT USE NODE.JS
Related service offerings
GET STARTED
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