You will get RAG Knowledge Chatbot, Instant Answers from Your Documents
Top Rated
Top Rated
Project details
If your team is spending hours searching through
documents, PDFs, and internal files to find answers
— this system fixes that instantly.
I build RAG (Retrieval Augmented Generation) chatbots
that are trained on your own documents. Users ask
questions in plain English and get instant, accurate
answers with source references — in under 3 seconds.
What this project includes:
→ Document ingestion (PDF, CSV, Word, internal docs)
→ Chunking, embedding and vector database setup
→ OpenAI or local LLM integration (Ollama supported)
→ Chat interface or API endpoint
→ Source citations with every answer
→ Deployed on your server or cloud environment
Real result: A client used this system to search
10,000+ PDFs instantly — cutting document search
time by 90% and reducing support workload by 70%.
This is not a generic chatbot. It only answers from
your documents — no hallucinations, no made-up facts.
Stack: Python, FastAPI, OpenAI, PostgreSQL,
Docker, AWS
Ready to turn your documents into a knowledge system?
Send me a message and I will map out the build in 24 hours.
documents, PDFs, and internal files to find answers
— this system fixes that instantly.
I build RAG (Retrieval Augmented Generation) chatbots
that are trained on your own documents. Users ask
questions in plain English and get instant, accurate
answers with source references — in under 3 seconds.
What this project includes:
→ Document ingestion (PDF, CSV, Word, internal docs)
→ Chunking, embedding and vector database setup
→ OpenAI or local LLM integration (Ollama supported)
→ Chat interface or API endpoint
→ Source citations with every answer
→ Deployed on your server or cloud environment
Real result: A client used this system to search
10,000+ PDFs instantly — cutting document search
time by 90% and reducing support workload by 70%.
This is not a generic chatbot. It only answers from
your documents — no hallucinations, no made-up facts.
Stack: Python, FastAPI, OpenAI, PostgreSQL,
Docker, AWS
Ready to turn your documents into a knowledge system?
Send me a message and I will map out the build in 24 hours.
Programming Languages
JavaScript, Python, JavaCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$400
|
Standard
$800
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 16 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | ||
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$400 - $700Frequently asked questions
9 reviews
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This project doesn't have any reviews.
DT
Dominic T.
Feb 8, 2026
Build Simple Flask MVP – AI Job Skills Translator (Python)
Completed a short test task on time and communicated well. Showed a good understanding of the problem and approach. Easy to work with.
TK
Tony K.
Feb 5, 2026
Frontend / Full-Stack Dev — Simple API Integration (Existing App)
Muddassar is a hard work but he needs very clear instructions on that the client actually wants. For example, he will create the backend tech part and not integrate it.
Where gaps remain he ignores them and places the onus on the client to bridge them.
Where gaps remain he ignores them and places the onus on the client to bridge them.
TK
Tony K.
Jan 8, 2026
Front and backendnintegration
TK
Tony K.
Jan 2, 2026
Backend Developer – Simple API Service (Python / FastAPI or Node)
He goes the extra mile and is very responsive. He need very clear instructions so there is no drift. If you outcomes are clear he is wiling to go the extra mile. .
TK
Tony K.
Dec 22, 2025
Backend Developer – Simple API Service (Python / FastAPI or Node)
Very knowledgeable. I would use him again.
About Muddassar
Full-Stack AI Developer | Python, FastAPI, LangChain, RAG, n8n
100%
Job Success
Mansehra, Pakistan - 9:46 am local time
from Django/FastAPI backends to production AI agents and automation
pipelines.
Recent results: a Stripe billing backend that helped a SaaS client
accelerate monetization 3x, an AI email auto-responder saving clients
5–10 hours/week, and an AI resume-screening system that cut hiring time
40%. I've also shipped RAG knowledge chatbots, voice AI assistants, and
multi-agent QA automation systems.
Stack: Python, Django, FastAPI, Spring Boot, React, PostgreSQL, Docker,
AWS. On the AI side: OpenAI API, LangChain, RAG pipelines, n8n workflow
automation, and custom AI agents.
What you get: clean code that holds up past the demo, honest timelines,
and someone who scopes the actual problem before writing a line of code
— not just the ticket as written.
Top Rated on Upwork, 4.8 rating across 900+ hours delivered. Happy to
jump on a free call before you commit to anything.
Steps for completing your project
After purchasing the project, send requirements so Muddassar can start the project.
Delivery time starts when Muddassar receives requirements from you.
Muddassar works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Document Audit
You share your documents, and I assess the structure, size, and best approach.
Embedding & Vector Setup
I process your documents, chunk and embed them into the vector database.