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An assistant that knows your business, and never sleeps.

I build AI agents and chatbots that answer from your own documents and data (RAG), take actions in your tools and hand off to a human when needed. They work 24/7 on your website, WhatsApp or internal tools, with guardrails that keep them on topic.

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Quick answer

What is a RAG chatbot?

A RAG (retrieval-augmented generation) chatbot answers a question by first searching a business's own documents and data, then writing a reply grounded in what it found. This keeps answers specific to the business and reduces made-up information. Nazil Iqbal builds RAG chatbots and multi-agent systems for websites, WhatsApp and internal teams.

AI Agents & Chatbots

What I build

  • Website & WhatsApp chatbots

    Answer customer questions instantly from your own FAQs, documents and data.

  • RAG knowledge assistants

    Search across your PDFs, docs and knowledge base with hybrid search and reranking for accurate answers.

  • Lead qualification agents

    Ask the right questions, score leads and book the good ones straight into your CRM.

  • Internal team assistants

    Give your team instant answers from company knowledge, policies and past work.

  • Guardrails & safety

    Protection against prompt injection and data leaks, with answers grounded in your data.

  • Multi-agent systems

    Several specialised agents that hand work to each other, each with its own job, tools and guardrails.

How it works

From idea to running system

  1. 01

    Free audit

    You describe the workflow. I map it and find the highest-ROI steps to automate.

  2. 02

    Build

    I build it with error handling, retries, logging and security built in.

  3. 03

    Launch

    Tested launch, hand-off documentation and training for your team.

  4. 04

    Improve

    I monitor results and keep improving as your business grows.

Tools & proof

Built with the right tools

  • OpenAI
  • Claude
  • Gemini
  • RAG
  • Pinecone
  • pgvector
  • ChromaDB
  • Cohere Rerank
  • Embeddings
  • n8n
  • NestJS
  • WhatsApp
  • Redis

Project

RAGForge: Advanced RAG AI System

An AI chat and knowledge-retrieval system that understands queries and retrieves relevant information with hybrid search and reranking.

  • NestJS
  • ChromaDB
  • BM25 Hybrid Search
  • Cohere Rerank
  • Redis
  • Docker

Project

AI SOC Memory

An AI-powered cybersecurity knowledge and memory system that retains security context and assists with fast analysis.

  • n8n
  • GPT-4o-mini
  • Pinecone
  • Embeddings
  • Webhooks

FAQ

Common questions

Can the chatbot answer from my own documents?

Yes. Using RAG (retrieval-augmented generation), the assistant searches your documents, FAQs and data and answers from them, so replies are specific to your business.

Will it make things up?

Answers are grounded in your data, and guardrails keep the agent on topic. When it is not sure, it can hand the conversation to a human instead of guessing.

Can I see an example?

Yes: Milo, the assistant on this website, is one. Open it from the bottom-right corner of the homepage and ask it anything about my services.

Ready to see what you could automate?

Describe one workflow. I'll reply within 24 hours with a free audit: what to automate, which tools fit and the time you could save.

Get My Free Audit

Other services

AI Automation Voice AI Agents Cybersecurity Full-Stack Development