How I Built a RAG Chatbot Into My Portfolio with LangGraph, PGVector & MCP

Most portfolios have a boring "About Me" paragraph. I replaced mine with something you can talk to — an AI terminal that answers questions about me, pulls my live GitHub activity, and remembers the conversation. You can try it right now on my portfolio: rehbarkhan.in.

I'm Rehbar Khan, a Full Stack & Gen-AI developer, and in this post I'll break down exactly how it works — the RAG pipeline, the LangGraph agent, the memory layer, and how I wired in real GitHub data with MCP. No fluff, just the architecture.

The problem

I wanted a portfolio assistant that could:

Answer questions about my background accurately — no hallucinated jobs or fake projects.

How I Built a RAG Chatbot Into My Portfolio with LangGraph, PGVector & MCP

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