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I will build python ai agent with langchain, rag and llm integration
Ahmed Ali
Level 1
About this gig
Want an AI agent that actually works not just a generic chatbot?
I will build a custom Python AI agent using LangChain, RAG, and
the latest LLMs that understands your data and automates your
workflows intelligently.
WHAT I CAN BUILD:
AI AGENTS:
Custom agent with memory, tools & decision-making
Multi-agent systems using LangGraph and CrewAI
AI sales, support, or research agents
RAG SYSTEMS:
Chatbot trained on your documents (PDF, Word, CSV)
Private LLM your data never leaves your server
Multi-document Q&A with vector search
AI CHATBOTS:
Website, WhatsApp or Telegram AI assistant
GPT-4, Claude, Gemini or Llama 3 integration
FastAPI backend for easy deployment
PERFECT FOR:
Businesses wanting 24/7 AI customer support
Startups building AI-powered SaaS features
Companies needing Q&A over large document libraries
Anyone replacing expensive manual tasks with smart AI
WHY CHOOSE ME:
Python + LangChain + RAG full stack AI expertise
Backed by Datix AI professional delivery
5.0 star rated fast, reliable, well-documented code
Message me before ordering I will confirm exactly
what I can build before you spend a single dollar.
Get to know Ahmed Ali
Ahmed Ali
Where Data Becomes Conscious
Level 1
- FromPakistan
- Member sinceDec 2023
- Avg. response time1 hour
- Last delivery1 week
Languages
Urdu, English, Hindi, German
👋 Ahmed Ali | Data Analyst & ML Developer | Founder @ Datix AI
I turn raw data into real business decisions. 2+ years in Data
Analysis, Machine Learning, Deep Learning, Computer Vision &
Business Intelligence.
✔ Excel & Power BI Dashboards
✔ Python, R, SQL, Tableau
✔ ML & Predictive Models
✔ n8n & Excel Automation
✔ Edge AI (Raspberry Pi)
At Datix AI delivering enterprise-grade results to clients worldwide from
Software Technology Park, University of Kotli.
💬 Message me before ordering!
My Portfolio
FAQ
What is the difference between a regular chatbot and a RAG AI agent?
A regular chatbot gives generic pre-written answers. A RAG agent reads your actual documents — PDFs, Word files, databases — and answers questions based on your specific content. It is like having a staff member who has read every document in your company.
Which LLMs do you work with?
I work with OpenAI GPT-4, GPT-4o, Anthropic Claude 3, Google Gemini, Meta Llama 3, Mistral, and DeepSeek. I can recommend the best model for your use case and budget before you order.
Can you integrate the AI agent into my existing website or app?
Yes. I build a FastAPI or Flask backend that exposes the agent as an API endpoint. Your website or app simply calls the API. I can also build a simple chat interface if needed.
Will my data be private and secure?
Yes. I can set up local or private LLM deployments where your data never leaves your server. For cloud-based solutions, your data is only sent to the LLM provider you choose (OpenAI, Anthropic, etc.) and is protected by their enterprise privacy policies.
Can you build a multi-agent system where multiple AI agents work together?
Yes — using LangGraph and CrewAI I build multi-agent systems where specialized agents collaborate. For example: one research agent, one writing agent, one review agent — all working together on complex tasks automatically.
