You will get AI chatbot using RAG to answer from your documents and data

Project details
You will get a powerful AI chatbot using Retrieval Augmented Generation (RAG) that can intelligently answer questions from your documents, PDFs, websites, or custom data sources.
As an experienced AI Developer specializing in Generative AI, NLP, and automation systems, I build scalable AI chatbot solutions tailored for businesses, SaaS platforms, and startups. My focus is on delivering high-performance, accurate, and production-ready AI systems using technologies like GPT-4, Python, and API integrations.
This AI chatbot will help you automate customer support, internal workflows, and knowledge management while improving efficiency and reducing manual effort.
I ensure clean architecture, reliable performance, and seamless deployment for real-world business use cases. Every solution is fully customized based on your requirements.
As an experienced AI Developer specializing in Generative AI, NLP, and automation systems, I build scalable AI chatbot solutions tailored for businesses, SaaS platforms, and startups. My focus is on delivering high-performance, accurate, and production-ready AI systems using technologies like GPT-4, Python, and API integrations.
This AI chatbot will help you automate customer support, internal workflows, and knowledge management while improving efficiency and reducing manual effort.
I ensure clean architecture, reliable performance, and seamless deployment for real-world business use cases. Every solution is fully customized based on your requirements.
Database Type
PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$149
|
Standard
$349
|
Advanced
$699
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 10 days |
Number of Revisions | 2 | 3 | 5 |
Source Code | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$40 - $120
Additional Revision
+$30
Custom Chat UI
(+ 2 Days)
+$120
API Integration
(+ 2 Days)
+$140
Deployment Setup
(+ 3 Days)
+$160Frequently asked questions
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GY
Ghulam Y.
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Muhammad M.
Mar 29, 2026
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Ali Raza did a solid job building our AI automation backend. He handled GPT, RAG pipelines, and FastAPI really well, and the system turned out scalable and reliable for our e-commerce workflows. Great communication and easy to work with.
AH
Ali H.
Mar 19, 2026
Enterprise AI Knowledge Management & Automation Platform
He did an excellent job building our AI knowledge management system and clearly understands how to work with RAG, NLP, and API integrations at a practical level.
The implementation was clean, reliable, and aligned well with our requirements. Communication was smooth throughout, and he delivered exactly what we needed.
The implementation was clean, reliable, and aligned well with our requirements. Communication was smooth throughout, and he delivered exactly what we needed.
About Ali
AI Python Developer | RAG, LLM Apps, AI Agents & Automation
100%
Job Success
Bahawalpur, Pakistan - 6:16 pm local time
My focus is not just connecting an AI API. I help turn your documents, data, workflows, and business logic into useful AI systems that are structured, reliable, and easy to maintain after launch.
I can help with:
• RAG chatbots for PDFs, websites, internal documents, and knowledge bases
• LLM applications using OpenAI, LangChain, LlamaIndex, embeddings, and vector databases
• AI agents for multi-step workflows, tool calling, research tasks, and API automation
• AI chatbot and AI bot development for SaaS products, support systems, and internal tools
• FastAPI and Django backends for AI apps, dashboards, and automation platforms
• Business process automation using Python, APIs, OpenAI, and workflow logic
• Data extraction, web scraping, document processing, and structured data pipelines
• Machine learning, deep learning, NLP, and computer vision features when the project requires model-level work
Core stack:
Python, FastAPI, Django, OpenAI API, LangChain, LlamaIndex, RAG, LLMs, AI agents, Generative AI, ChromaDB, Pinecone, MongoDB, PostgreSQL, REST APIs, API integration, automation scripts, data extraction, web scraping, machine learning, deep learning, NLP, and computer vision.
Relevant Upwork work includes:
• GPT + RAG based AI knowledge management platform
• FastAPI-powered AI automation backend for e-commerce workflows
• Multi-step AI research workflow using OpenAI, Python, and tool integrations
As an AI Python Developer, I care about the full system, not only the model response. That means clean backend architecture, proper retrieval logic, structured prompts, database flow, API integrations, logging, testing, and clear handover.
My approach:
I first understand your workflow, data sources, users, expected output quality, and integration needs. Then I plan the backend structure, retrieval logic, API architecture, database design, testing approach, and deployment path before building.
This helps avoid messy AI demos that work only in a small test but fail when real users, real data, and real business rules are involved.
I am a good fit if you need:
• An AI chatbot that answers from your own data
• A RAG system for documents, PDFs, websites, or internal knowledge
• An AI agent that can use tools, APIs, and structured workflows
• A Python/FastAPI backend for your AI product
• Automation that reduces manual work and connects with your existing systems
• AI features backed by clean architecture, not quick patches
I can also support projects that need machine learning, deep learning, or computer vision, but my main strength is building practical AI systems with Python, RAG, LLMs, AI agents, API integrations, and automation.
If you need an AI Python Developer for an AI chatbot, RAG system, LLM app, AI agent, automation backend, or AI-powered feature that should work beyond a basic demo, send me your use case and I will suggest the cleanest technical approach.
Steps for completing your project
After purchasing the project, send requirements so Ali can start the project.
Delivery time starts when Ali receives requirements from you.
Ali works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis & Planning
Understanding your use case, data sources, and chatbot goals
Data Processing & RAG Setup
Preparing documents, embeddings, and retrieval pipeline