I will build rag agents and ai apps with langchain and langgraph


About this gig
Welcome! I specialize in building custom, high-performance AI agents tailored to your business needs. Whether you want to leverage your OpenAI API key or deploy secure, local open-source LLMs (like LLaMA or Mistral), I provide end-to-end development from the ground up.
Using advanced frameworks like LangChain, LangGraph, and FastAPI, I create intelligent, task-oriented agents. Beyond the backend AI logic, I also build sleek, responsive frontends using React.js (with Tailwind and Vite) or Streamlit for seamless user interaction.
What I Offer:
- Custom AI Chatbots: Intelligent conversational agents for customer support and task automation.
- RAG Systems (Knowledge Bases): AI agents securely trained on your specific documents, data, and FAQs for precise, real-time answers.
- Advanced Workflows: Multi-agent systems and complex logic utilizing LangChain and LangGraph.
- Broad Model Integration: Expertise in connecting OpenAI, Llama 3, Claude 3, and Mistral.
- Generative AI: Complete setup of AI models for image, text, and data generation
Who Is This For?
- Startups & Businesses looking to scale customer support with AI.
- Companies needing internal AI assistants securely trained on private data.
Get to know Aamir Javed
turning complex AI ideas into revenue driving solutions
- FromPakistan
- Member sinceJul 2023
Languages
Urdu, English
My Portfolio
FAQ
What is an AI Agent?
An AI Agent is an intelligent program that can perform tasks like answering questions, retrieving data, or automating workflows using AI models. It can be powered by cloud models like OpenAI GPT or local open-source LLMs for privacy.
What is the difference between using OpenAI API and a local LLM?
OpenAI API is cloud-based, fast, and requires an API key, but your data is processed on OpenAI’s servers. Local LLM (like LLaMA, Mistral, Vicuna) runs on your own machine or server — ensuring privacy and no API costs.
Can you deploy my AI Agent online?
Yes, I can integrate your AI Agent with FastAPI and deploy it to your server or cloud platform so it’s accessible via a web app or API endpoint.
What do I need to get started?
Just share your requirements, preferred AI model (OpenAI or local), and any specific tasks your AI Agent should perform. I’ll guide you through installation and setup.
What is RAG (Retrieval-Augmented Generation), and how can it benefit my business?
RAG combines retrieval-based search with generative AI to provide highly accurate, real-time responses. It improves chatbot accuracy, enhances customer support, and allows AI to generate precise answers based on your company’s data.

