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I will build custom rag ai agents
Ahmad
About this gig
Are you looking to automate support or data retrieval using context-aware AI? Static chatbots are dead. Your business needs an intelligent, production-ready RAG AI Agent.
As an AI Automation Engineer, I build stateful AI systems that execute actions securely based on your proprietary data.
️ What I Do:
- Custom RAG Pipelines: Connect PDFs, menus, and web content to LLMs using Supabase or Pinecone.
- Gatekeeper Logic: Build zero-hallucination systems strictly bounded to your context.
- Workflow Orchestration: Robust backend automation via n8n, Flowise, LangChain, and LangGraph.
- Smart Web Scraping: Live data extraction using Firecrawl and Apify.
- Human-in-the-Loop: Systems that pause and escalate sensitive queries (refunds/disputes) to humans.
Tech Stack: LangChain, LangGraph, Google ADK, n8n, Flowise.
Case Study: RAG Agent for Zakiya Foods
- Challenge: Handle complex queries about recipes and ingredients without hallucinations.
- Solution: Built an n8n + Supabase RAG pipeline with strict Gatekeeper Logic.
- Result: 24/7 precise support with zero hallucinations.
Get to know Ahmad
Ahmad
AI AGENT DEVELOPER
- FromPakistan
- Member sinceMay 2026
Languages
Urdu, English
I am a Bachelor of Science in Artificial Intelligence (BSAI) student with a growing passion for data analytics and problem-solving. I have gained hands-on experience in AI Agent development,N8N,RAG, Python, SQL, Excel, Tableau, which I use to analyze data and build useful projects.
My Portfolio
Other Chatbot Development Services I Offer
FAQ
What is a RAG AI Agent, and how is it different from a normal chatbot?
A standard chatbot relies only on the general knowledge it was trained on, which often leads to "hallucinations" (making up fake answers). A RAG (Retrieval-Augmented Generation) AI Agent connects directly to your custom data sources (like your business PDFs, website links, or databases). Before answ
What do you mean by "Gatekeeper Logic" or AI Guardrails?
Gatekeeper logic is a specialized security framework I build into the workflow (using n8n/Flowise). It acts as a filter that evaluates incoming customer queries and outgoing AI responses. If a user asks something out-of-scope or tries to trick the AI, the gatekeeper blocks the prompt. This guarantee
Can the AI agent handle multi-modal inputs like images or voice?
Yes! By utilizing advanced frameworks like Google ADK (Agent Development Kit) and LangChain, I can design multi-agent systems that support multi-modal streaming. This means your agent can process text, images (like receipts or product photos), and even data streams, depending on the requirements of
What is "Human-in-the-Loop" integration?
It is a fail-safe system for your business operations. For 90% of standard queries, the AI handles the response automatically. However, if a customer triggers a sensitive issue—like a complex refund dispute or an order cancellation request—the LangGraph state mechanism automatically pauses the AI wo
Which Vector Database do you use, and do I need to pay for it?
I primarily use Supabase Vector Store or Pinecone. Supabase is highly efficient, secure, and has a very generous free tier that is perfect for small-to-medium businesses. Unless your data scale is massive (millions of rows), you won't have to pay anything extra for the vector database setup.
