You will get AI Chatbot Trained on Your Company Data with RAG
Project details
You'll get an AI chatbot trained on your company's own data using Retrieval Augmented Generation (RAG). Unlike generic chatbots, this one actually knows your business. It ingests your documents, FAQs, and knowledge base into vector embeddings, then retrieves the most relevant answers for every customer question. When the bot reaches its limits, it seamlessly escalates to a live human agent. I've built RAG chatbots for production SaaS platforms handling real customer conversations daily. You get accurate answers, happy customers, and fewer support tickets.
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Hamza
Python Developer | AI Integration Expert
Karachi, Pakistan - 4:18 am local time
I'm Hamza, a Backend Engineer with 5+ years building production-grade Django systems that handle real traffic, real complexity, and real business logic. I've helped scale applications from 200 to 100,000 concurrent users without rewriting everything from scratch.
What I've delivered:
✅ Rebuilt an entire legacy platform (v1 to v2) with zero-downtime migration, running both systems in parallel using automated daily data sync until the new version was fully live
✅ Built a real-time ride-sharing platform using Django Channels and WebSockets with live driver tracking, rider-driver matching, and socket-based location updates
✅ Designed RAG-based AI chatbots trained on company knowledge bases with seamless live agent escalation via Twilio Flex
✅ Built multi-path SMS and voice automation (Twilio Studio, Flex, TaskRouter) handling service requests, onboarding, and real-time agent routing through a single number
✅ Integrated Stripe programmatic invoicing, subscription billing with off-session renewals, and 3D Secure authentication
✅ Architected multi-tenant SaaS systems with row-level isolation, custom middleware, and shared database architecture serving multiple client segments
What I built for you:
→ REST APIs with Django REST Framework (clean, documented, versioned)
→ SaaS backend architecture and multi-tenant systems
→ Real-time features with Django Channels and WebSockets
→ AI integrations, RAG chatbots, LLM workflows, automation pipelines
→ Twilio (Flex, Studio, IVR, SMS, WhatsApp) communication systems
→ Stripe and payment gateway integrations
→ Database design and query optimization
→ Celery task queues, cron jobs, and background automation
→ Legacy system refactoring and zero-downtime migrations
I don't do quick fixes. If you're building something serious and need a backend engineer who focuses on long-term architecture, not just closing tickets, send me a message with your project details and I'll get back to you within 24 hours.
Steps for completing your project
After purchasing the project, send requirements so Hamza can start the project.
Delivery time starts when Hamza receives requirements from you.
Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Review data sources and define chatbot scope
I'll analyze your documents, FAQs, and data to plan the knowledge base structure and conversation flows.
Build ingestion pipeline and vector store
Process your documents into vector embeddings and set up semantic search for accurate retrieval.