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Custom AI Chatbots Trained on Your Business Data

Generic chatbots make things up. I build RAG (Retrieval-Augmented Generation) chatbots that answer from your own content — website pages, PDFs, help docs, product data — and show where each answer came from. They can sit on your website as a support widget or inside your app as an internal knowledge assistant.

What you get

  • ▹Content ingestion from websites, PDFs, docs, and databases
  • ▹Embeddings and vector database search tuned for your content
  • ▹Prompt design that keeps answers accurate and on-brand
  • ▹Chat UI in React/Next.js or an embeddable website widget
  • ▹Source citations, conversation history, and lead capture
  • ▹Admin panel to update content and review conversations

Common use cases

  • ▹24/7 customer support on your website
  • ▹Internal knowledge base assistant for staff
  • ▹Product and pricing assistant for e-commerce stores
  • ▹Onboarding assistant for SaaS users
  • ▹Document Q&A for legal, real estate, and finance teams

Why hire Muhammad Zaid for AI Chatbots & RAG

Grounded answers

Answers come from your content with citations, which sharply reduces made-up responses.

Your brand, your UI

A custom interface that matches your site instead of a generic third-party widget.

You own it

The code, data, and prompts are yours — no per-seat chatbot platform lock-in.

Technologies I use

RAG SystemsEmbeddingsVector DatabasesLangChainOpenAI APIClaude APIGemini APINext.jsReact.jsNode.js

See the full list on my skills page.

How we'll work together

  1. 01

    Discovery

    We discuss your goals, users, and constraints. I ask the questions that shape the right solution.

  2. 02

    Plan & estimate

    You get a clear scope, timeline, and fixed or milestone-based estimate.

  3. 03

    Build

    I develop in short iterations with regular demos so you see progress every week.

  4. 04

    Launch & support

    I deploy to production, hand over documentation, and stay available for support.

AI Chatbots & RAG FAQ

What is a RAG chatbot?

RAG stands for Retrieval-Augmented Generation. Before answering, the chatbot searches your own documents for the most relevant passages and gives them to the AI model, so answers are based on your real content rather than the model's general knowledge.

Can the chatbot be added to my existing website?

Yes. I can deliver it as an embeddable widget for any website (WordPress, Shopify, Webflow, custom sites) or build it directly into a React or Next.js application.

How do I keep the chatbot's knowledge up to date?

I include an admin panel or an automatic sync so new pages and documents are re-indexed, keeping answers current without rebuilding the chatbot.

More answers on the FAQ page.

Helpful guides

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Ready to start your ai chatbots & rag project?

Free consultation. Working remotely with clients worldwide.

Contact Muhammad Zaid <~>