Live API: https://matechs-backend.vercel.app/api/chat
Tech Stack: Node.js · RAG · Embeddings · Groq LLM · Vercel
🧠 Why RAG?
Instead of a generic chatbot that hallucinates, I wanted:
✅ Company-only answers
✅ No random AI output
✅ Controlled, safe responses
So I built a Retrieval-Augmented Generation (RAG) backend.
🏗️ System Architecture
Here’s the flow:
Company data stored in a knowledge base (text)
Data converted into embeddings
User query converted into an embedding
Cosine similarity used to find the best match
Matched context sent to an LLM
AI generates a response only from that context
📚 Knowledge Base
Company information includes:
Services
Projects
Target clients
Contact details
This ensures the chatbot:
Knows the business
Stays on-topic
Never hallucinates
🧬 Embeddings
Generated locally using @xenova/transformers
Stored as vectors
No paid embedding APIs
Works on free-tier hosting
This keeps costs at $0 for embeddings.
🤖 AI Generation
LLM: Groq (LLaMA-based)
Low temperature (less hallucination)
System prompt strictly enforces context usage
Confidence threshold fallback:
“I’ll connect you with our team”
☁️ Serverless Deployment
Backend deployed on Vercel
Uses serverless functions
Environment variables for API keys
CORS handled for frontend usage
Production-ready API
🔐 Safety & Reliability
No training on user data
No external data leakage
Context-restricted responses
Graceful fallback if confidence is low
🔗 Frontend Integration
The chatbot is fully connected to the frontend website and responds in real time.
👉 Try it live on the site:
https://matechssolutions.vercel.app/
🧩 Final Thoughts
This project demonstrates:
Real-world RAG implementation
AI + web integration
Serverless backend design
Production deployment practices
If you’re building safe AI chatbots for businesses, this pattern works extremely well.
About me
I’m a full-stack developer working on real-world web and AI systems, including RAG-based chatbots and production deployments.
🔗 Portfolio: https://mussadiqali15671.github.io/my-portfolio/
If you’re building something similar or want to discuss architecture, feel free to reach out.
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