AI Knowledge Assistant

A live RAG demo. Ask anything about TaiGHT's services, technology insights, and innovation approach.

Ask me anything about TaiGHT's services and insights.

How It Works

This assistant uses Retrieval-Augmented Generation (RAG) to answer questions from TaiGHT's knowledge base. Your question is embedded, matched against our indexed content, and the most relevant sections are used as context for the AI response.

Hybrid search (vector + keyword) finds relevant content

Azure OpenAI generates a grounded response

Sources are cited from actual retrieved content

Tech Stack

Semantic Kernel

Azure OpenAI

Azure AI Search

Blazor Server

.NET 10

Build This For Your Organisation

This assistant is a live demonstration of the RAG architecture we build for clients. We can create the same for your internal knowledge base, documentation, or customer-facing support.

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