You will get Build an AI chatbot trained on your business data using RAG
Project details
You want a chatbot that answers questions using your own documents,
FAQs, knowledge base, or product data — not generic ChatGPT
hallucinations.
I build real RAG (Retrieval Augmented Generation) chatbots that
actually read your data and give accurate answers with citations.
Most freelancers will give you a wrapper around ChatGPT that makes
things up. I build a proper RAG system: document ingestion pipeline,
vector embeddings, semantic search, citation-based answers, and
confidence scoring so the bot says "I'm not sure" instead of
inventing answers.
I've built this kind of system for B2B SaaS clients where it now
auto-resolves 70% of support tickets. The same approach works for
internal employee assistants, product Q&A bots, sales enablement,
and customer-facing helpdesks.
Stack: OpenAI or Claude APIs, Pinecone or pgvector, Node.js or
Python backend, React/Next.js for the UI. I deploy to Vercel,
Railway, or your AWS — your choice.
If you're not sure whether your project fits a tier, send a message
first — I'll tell you honestly which tier matches your scope.
FAQs, knowledge base, or product data — not generic ChatGPT
hallucinations.
I build real RAG (Retrieval Augmented Generation) chatbots that
actually read your data and give accurate answers with citations.
Most freelancers will give you a wrapper around ChatGPT that makes
things up. I build a proper RAG system: document ingestion pipeline,
vector embeddings, semantic search, citation-based answers, and
confidence scoring so the bot says "I'm not sure" instead of
inventing answers.
I've built this kind of system for B2B SaaS clients where it now
auto-resolves 70% of support tickets. The same approach works for
internal employee assistants, product Q&A bots, sales enablement,
and customer-facing helpdesks.
Stack: OpenAI or Claude APIs, Pinecone or pgvector, Node.js or
Python backend, React/Next.js for the UI. I deploy to Vercel,
Railway, or your AWS — your choice.
If you're not sure whether your project fits a tier, send a message
first — I'll tell you honestly which tier matches your scope.
Programming Languages
JavaScript, Python, GoCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,200
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 7 days | 12 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
Number of Pages | 1 | 3 | 5 |
Design Customization | - | - | |
Content Upload | - | ||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Add WhatsApp or Telegram bot integration
(+ 5 Days)
+$300
Add admin panel to manage knowledge base
(+ 7 Days)
+$500Frequently asked questions
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CH
Chase H.
Jul 21, 2020
Looking for a Laravel + React + Server teacher for Zoom calls
ID
Igor D.
Jan 22, 2020
Create Delete functionality to delete the record from remote Database
Great job, fast and correct.
LB
Lucky B.
Jan 14, 2020
Efficient SQL Query to SUM within SELECT for multiple ID's
Sulaman understood the problem quickly and was highly available to resolve the issue. Communication was great and his working style flexible.
JR
Jillian R.
Dec 20, 2019
Developer needed for an existing web page
Sulaman works very professionally. He was able to solve the issue on our website immediately. Very satisfied with his work!
ID
Igor D.
Nov 8, 2019
SQL results page in WordPress
Great job. Sulaman did everything needed until result was perfect. Got my trust. Thanks a lot.
About Sulaman
I Build AI Features Into Your SaaS - RAG, Agents & Chatbots That Ship
Lahore City, Pakistan - 9:52 am local time
I've been building software for 8 years. The last 2 have been mostly
AI work — adding ChatGPT and Claude features into existing SaaS
products, building chatbots that actually use a company's own data,
and writing agents that automate workflows founders are sick of doing
manually.
Most of my AI clients come to me with the same problem: they tried
adding AI themselves, or hired someone cheap, and the result was
either a generic chatbot that hallucinates or a half-finished proof
of concept nobody can deploy. I clean those up, or I build the thing
from scratch the right way.
Here's what I usually build:
- Chatbots trained on your own docs, FAQs, or database (RAG with
Pinecone, Weaviate, or pgvector)
- AI agents that handle real workflows — reading emails, updating
your CRM, posting to Slack, etc.
- OpenAI and Claude API integrations into Node.js, Laravel, Django,
or Go backends
- Custom internal tools where AI does the boring work (summaries,
classification, drafting)
- Cost optimization on existing AI features (most teams burn 3-5x
more on tokens than they need to)
My background is full-stack, so I don't just bolt AI on top — I make
sure it fits properly into your codebase, has tests, and your team
can maintain it after I leave.
Stack I work in daily:
Backend: Node.js (Nest, Express), Go, Laravel, Python
AI: OpenAI, Claude, LangChain, LlamaIndex, vector DBs
Frontend: React, Next.js, TypeScript
Infra: AWS, Docker, GitHub Actions, Vercel
A few things about how I work:
I'll tell you when an idea is bad. I've talked clients out of features
that would have wasted weeks. That's part of the job.
I send a Loom walkthrough every Friday so you always know where
things stand. No "still working on it" updates.
I respond within 4 hours during business hours. My timezone overlaps
with US East Coast mornings and full European working hours.
I take fixed-scope projects or longer retainers. Not a fit for 5-hour
"quick fix" jobs.
If you have a project in mind, send a brief or a Loom — I'll reply
within 4 hours and tell you honestly whether I'm the right person
for it.
— Sulaman
Steps for completing your project
After purchasing the project, send requirements so Sulaman can start the project.
Delivery time starts when Sulaman receives requirements from you.
Sulaman works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Data Audit
30-min call to review your documents, define use cases, and confirm scope. I'll tell you honestly if your data is ready for RAG.
Document Ingestion Pipeline
Build the pipeline to chunk, embed, and load your documents into a vector database. Handles PDFs, Word, web pages, Notion.