You will get a RAG AI chatbot using LangChain, OpenAI & Pinecone
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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
$599
|
Standard
$999
|
Advanced
$1,799
|
|---|---|---|---|
| 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 |
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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)
JR
Juan R.
Jan 27, 2026
Fix Product Price Scraping Issues on E-commerce Platform (Decodo API)
Hanad resolve a big issue i had on my amazon search api and resolved really fast, 100% recommended.
About Hanad
Expert AI Engineer | AI Agents | RAG Systems | Voice AI Agent | N8N
100%
Job Success
Islamabad, Pakistan - 7:15 pm local time
With 6+ years of experience in AI Engineering, Generative AI, and LLM Applications, I specialize in building production ready AI Agents, Voice Assistants, RAG Systems, AI Automations, and custom web applications powered by OpenAI, Claude, Gemini, DeepSeek, and open-source LLMs.
Why Clients Hire Me
✅ Top Rated Upwork Freelancer
✅ 100% Job Success Score
✅ $20K+ Earned on Upwork
✅ 24+ Successful Projects Delivered
✅ Fast Communication & Reliable Delivery
✅ End-to-End AI Product Development
Whether you need an AI chatbot, voice assistant, knowledge base, customer support automation, sales agent, workflow automation, or a complete AI SaaS platform, I can take your project from idea to production.
🤖 AI AGENTS & AGENTIC AI
I build intelligent AI Agents and Multi-Agent Systems that can automate business processes, perform complex reasoning, interact with APIs, and execute tasks autonomously.
• AI Agents & Multi-Agent Systems
• CrewAI, AutoGen, LangGraph, LangChain
• OpenAI Assistants API
• MCP (Model Context Protocol)
• Agent Orchestration & Tool Calling
• Autonomous Workflow Automation
• AI Research Agents
• Customer Support Agents
• Sales & Lead Generation Agents
• AI Automation Systems
📚 RAG SYSTEMS & KNOWLEDGE BASE CHATBOTS
I build advanced RAG (Retrieval-Augmented Generation) systems that enable AI applications to retrieve accurate, context-aware information from your private data sources.
• Retrieval-Augmented Generation (RAG)
• LangChain
• LangGraph
• LlamaIndex
• Enterprise Knowledge Bases
• Semantic Search
• Vector Search
• Document Intelligence
• PDF & Data Extraction
🎙️ VOICE AI & CONVERSATIONAL AI
I create human-like Voice AI Agents capable of handling inbound and outbound calls, appointment booking, lead qualification, customer support, and real-time conversations.
• Voice AI Agents
• Vapi AI
• Retell AI
• ElevenLabs
• Deepgram
• Twilio Voice AI
• Real-Time Voice Assistants
• Call Center Automation
• Appointment Booking Agents
• AI Receptionists
🧠 LLM ENGINEERING & GENERATIVE AI
I design and deploy custom LLM-powered applications using OpenAI, Claude, Gemini, DeepSeek, and open-source models tailored to specific business requirements.
• OpenAI GPT-4o
• Claude Sonnet
• Google Gemini
• Fine-Tuning & Custom Model Training
• RLHF & DPO
• AI Evaluation & Benchmarking
⚡ AI AUTOMATION & BUSINESS WORKFLOWS
I automate repetitive business processes by connecting AI models with CRMs, marketing tools, communication platforms, and internal systems.
• Make
• n8n
• CRM Automation
• Marketing Automation
• Email Automation
I focus on building AI solutions that are accurate, scalable, secure, and ready for real-world users.
If you're looking for an AI Agent Developer, Voice AI Engineer, RAG Expert, LangChain Developer, OpenAI Specialist, or AI Engineer who can deliver production grade solutions, let's discuss your project.
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.