You will get a RAG AI chatbot using LangChain, OpenAI & Pinecone
Top Rated
Project details
Transform your documents into an intelligent AI assistant that provides accurate answers using your private data.
I will build a Retrieval-Augmented Generation (RAG) chatbot using LangChain, LangGraph, LlamaIndex, OpenAI, Claude, and modern vector databases.
Perfect for:
• Knowledge Bases
• PDF Chatbots
• Internal AI Assistants
• Customer Support Bots
• Enterprise Search
• Document Intelligence
Technologies:
• LangChain
• LangGraph
• LlamaIndex
• OpenAI
• Pinecone
• Qdrant
• ChromaDB
• FAISS
Your AI assistant will retrieve information from documents, websites, databases, and internal knowledge sources with high accuracy and fast responses.
I will build a Retrieval-Augmented Generation (RAG) chatbot using LangChain, LangGraph, LlamaIndex, OpenAI, Claude, and modern vector databases.
Perfect for:
• Knowledge Bases
• PDF Chatbots
• Internal AI Assistants
• Customer Support Bots
• Enterprise Search
• Document Intelligence
Technologies:
• LangChain
• LangGraph
• LlamaIndex
• OpenAI
• Pinecone
• Qdrant
• ChromaDB
• FAISS
Your AI assistant will retrieve information from documents, websites, databases, and internal knowledge sources with high accuracy and fast responses.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$299
|
Standard
$399
|
Advanced
$599
|
|---|---|---|---|
| Delivery Time | 5 days | 8 days | 12 days |
Number of Revisions | 3 | 3 | 5 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | ||
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$75 - $125
12 reviews
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TS
Trent S.
Aug 17, 2026
Agent-to-Agent Proof of Concept
Hanad is wonderful to work with. His knowledge, expertise, communicatio and thoroughness are unmatched. He knows AI development inside and out. He is my go-to for any development but specifically for anything AI related.
MH
Malcolm H.
Jun 17, 2026
AI RAG Engineer – Audit & Fix Existing Pipeline
Ended the contract early because work is not needed at this time.
TS
Trent S.
May 5, 2026
AI Agents & aRAG based Chatbot
Hanad built a Python-based AI chatbot system for a SaaS application. The architecture included modular, à la carte AI agents and a retrieval-augmented generation (RAG) pipeline to enable context-aware responses from structured data and documents.
What stood out most is that he didn’t just execute tasks, he understood the system at an architectural level. He was able to work across AI agents, RAG pipelines, and automation workflows, and implement everything in a clean, scalable way while also contributing thoughtful suggestions throughout the process.
He is particularly strong in automation, AI agent development, and RAG-based systems. If you’re building intelligent workflows, chatbots, or data-driven AI applications, he can take a concept and turn it into a functional, production-ready solution.
Communication has been excellent throughout. His English is strong, which makes collaboration smooth, especially when working through more complex technical requirements, and he’s been reliable and consistent with delivery.
We’ve continued working together beyond the initial project, and I plan to keep working with him on an ongoing basis. I would definitely recommend him to anyone looking for a developer who understands modern AI systems and can deliver high-quality results.
What stood out most is that he didn’t just execute tasks, he understood the system at an architectural level. He was able to work across AI agents, RAG pipelines, and automation workflows, and implement everything in a clean, scalable way while also contributing thoughtful suggestions throughout the process.
He is particularly strong in automation, AI agent development, and RAG-based systems. If you’re building intelligent workflows, chatbots, or data-driven AI applications, he can take a concept and turn it into a functional, production-ready solution.
Communication has been excellent throughout. His English is strong, which makes collaboration smooth, especially when working through more complex technical requirements, and he’s been reliable and consistent with delivery.
We’ve continued working together beyond the initial project, and I plan to keep working with him on an ongoing basis. I would definitely recommend him to anyone looking for a developer who understands modern AI systems and can deliver high-quality results.
JK
Jason K.
Apr 15, 2026
Roboflow PHP Interface to Inference Server
Very good experience. Will continue to work with on future projects.
TN
Tahir N.
Mar 11, 2026
Claude AI Automation Specialist (Mac Mini Setup – Real Estate Business Development)
About Hanad
AI Engineer | AI Agents, RAG Chatbots, Voice AI & Automation | N8N
100%
Job Success
Islamabad, Pakistan - 3:46 pm local time
Most AI agent builds fail not because of bad models, but because nobody mapped the actual process first. I start there, then ship production-grade AI Agent Development, RAG Chatbot systems, and Voice AI Agents that run live for real businesses not just impressive demos.
With 6+ years of experience in AI Engineering, I've helped SMEs, SaaS founders, and enterprise teams turn messy workflows into reliable, revenue-generating automation.
✦ What I Build:
✦ AI Agent Development: multi-agent systems that handle real business logic, not scripted chat flows.
✦ RAG Chatbots: Retrieval Augmented Generation pipelines (LangChain, LangGraph, ChromaDB, Pinecone, Qdrant, vector search) grounded in your actual data, not hallucinated answers.
✦ Voice AI Agents (Vapi, ElevenLabs): inbound/outbound voice bots for appointment booking, receptionist automation, and customer support that sound human.
✦ Business Process Automation (n8n, OpenAI API): end-to-end workflow automation connecting your tools, CRMs, and data sources.
✦ AI Chatbot Development: GPT/Claude-powered conversational agents for support, sales, and internal ops.
Stack: Python, LangChain, LangGraph, OpenAI API, Claude API, n8n, Vapi, ElevenLabs, ChromaDB, Qdrant, Pinecone, Generative AI, Prompt Engineering.
Proof: 100% Job Success Score across dozens of completed engagements including a hospital receptionist voice agent (Vapi-powered), a multi-tenant RAG chatbot SaaS MVP, an HR policy RAG chatbot, a multi-agent customer support automation system, and a real-time voice cloning/TTS pipeline. I've also fixed and audited broken RAG pipelines for clients who tried to build in-house first.
I don't just wire up APIs, I map your workflow, identify where automation actually saves time or money, then build the AI Agent, RAG system, or Voice AI Agent to fit that reality. That's why my builds stay in production instead of getting shelved after launch.
If you need an AI Engineer who ships working systems not prototypes let's talk about your workflow first, then the build.
Message me with a short description of your process and where it's breaking down. I'll tell you honestly whether an AI Agent, RAG Chatbot, or Voice AI system is the right fix and what it'll take to ship it.
Steps for completing your project
After purchasing the project, send requirements so Hanad can start the project.
Delivery time starts when Hanad receives requirements from you.
Hanad works on your project following the steps below.
Revisions may occur after the delivery date.
Design and Planning
Develop a comprehensive system architecture and design based on requirements. Define technical specifications, frameworks, and tools required for development.