You will get AI Customer Support Agent (RAG + Knowledge Base)
Project details
You'll get a production-ready AI customer support agent that answers questions using your own documents, FAQs, help center articles, and business knowledge not generic AI guesses.
I build complete RAG (Retrieval-Augmented Generation) systems that search your knowledge base in real time before generating responses, helping improve accuracy and reduce support workload.
**What you'll get:**
• AI-powered customer support chatbot
• Knowledge base & document integration
• RAG pipeline with semantic search
• Source citations for answers
• Admin dashboard & conversation analytics
• Human handoff support when needed
• Clean, scalable, and maintainable code
Many AI chatbots fail because they're either simple ChatGPT wrappers with no real business knowledge or rigid FAQ bots that can't understand context. My approach combines AI with your actual content so responses stay relevant and trustworthy.
Ideal for SaaS companies, startups, agencies, and businesses looking to automate customer support while maintaining a great customer experience.
I build complete RAG (Retrieval-Augmented Generation) systems that search your knowledge base in real time before generating responses, helping improve accuracy and reduce support workload.
**What you'll get:**
• AI-powered customer support chatbot
• Knowledge base & document integration
• RAG pipeline with semantic search
• Source citations for answers
• Admin dashboard & conversation analytics
• Human handoff support when needed
• Clean, scalable, and maintainable code
Many AI chatbots fail because they're either simple ChatGPT wrappers with no real business knowledge or rigid FAQ bots that can't understand context. My approach combines AI with your actual content so responses stay relevant and trustworthy.
Ideal for SaaS companies, startups, agencies, and businesses looking to automate customer support while maintaining a great customer experience.
What's included
| Service Tiers |
Starter
$299
|
Standard
$999
|
Advanced
$2,499
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 21 days |
Number of Hours of Work | 15 | 34 | 59 |
Scriptwriting | - | - | - |
Summary Report | - | ||
Social Media Replies | - | - | - |
Email Support | |||
Live Chat Support | - |
About Irham
Full-Stack Developer | Next.js, Node.js, Laravel | AI-Powered SaaS
Gujranwala, Pakistan - 5:13 am local time
I focus on the parts that are easy to get wrong early: authentication, multi-tenant data isolation, Stripe billing, and AI integrations that actually hold up once you have paying users. Most MVPs get rebuilt because these weren't set up properly the first time. I get the architecture right from the start.
𝐖𝐇𝐀𝐓 𝐈 𝐁𝐔𝐈𝐋𝐃
▸ AI chatbots and RAG pipelines — answers grounded in your documents, with source citations, so the bot can't invent facts
▸ SaaS MVPs — Next.js, PostgreSQL/Supabase, Stripe subscriptions, multi-tenant architecture
▸ Full-stack TypeScript apps — Next.js App Router, Node.js APIs, PostgreSQL
▸ Admin dashboards — role-based access, analytics, internal tooling
𝐑𝐄𝐂𝐄𝐍𝐓 𝐖𝐎𝐑𝐊
▸ Multi-tenant AI customer support SaaS — RAG pipeline, real-time chat, knowledge base management, per-tenant data isolation
▸ Enterprise legal AI platform — hybrid search (keyword + semantic), document ingestion, API cost tracking
𝐒𝐓𝐀𝐂𝐊
Next.js (App Router), TypeScript, Node.js, PostgreSQL, Supabase, pgvector, Stripe, OpenAI, LangChain, Redis, Tailwind. Deployed on AWS or Vercel. Every delivery includes full source code, deploy docs, and commercial rights — no lock-in.
𝐇𝐎𝐖 𝐓𝐎 𝐒𝐓𝐀𝐑𝐓
Send a spec, a Figma file, or a rough idea. First reply includes an honest read on whether it's a good fit and roughly what it takes to build — even if the answer is "you don't need me for this."
Steps for completing your project
After purchasing the project, send requirements so Irham can start the project.
Delivery time starts when Irham receives requirements from you.
Irham works on your project following the steps below.
Revisions may occur after the delivery date.
Project Discovery & Requirements
Review your business needs, support workflows, target users, and existing documentation to define the chatbot scope and knowledge base structure.
Knowledge Base Preparation
Organize and process FAQs, PDFs, help center articles, and other content sources to ensure accurate retrieval and responses.