Build Smart Chat with Your Own Data using Azure RAG

Want to create a chatbot that understands your company data, not just public internet data?

A RAG (Retrieval-Augmented Generation) application lets you build powerful chat experiences using your own documents and databases. Azure makes this possible with its AI and search services.

Here’s what a simple RAG flow looks like in Azure:

Upload your internal documents (PDFs, Word, etc.) to Azure Blob Storage

Use Azure AI Search to index and search relevant content

Connect with Azure OpenAI (GPT) to generate natural language answers

Combine both to chat with your own data securely and intelligently.

𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗘𝘅𝗮𝗺𝗽𝗹𝗲:

A healthcare company builds a chatbot that answers staff questions about internal policies, training guides, and patient safety documents — all using RAG. The data stays private, and employees get quick, accurate answers 24/7.

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝘁𝗿𝗶𝗲𝗱 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗰𝗵𝗮𝘁 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗮𝘁𝗮 𝘆𝗲𝘁? 𝗪𝗵𝗮𝘁 𝘁𝗼𝗼𝗹𝘀 𝗮𝗿𝗲 𝘆𝗼𝘂 𝘂𝘀𝗶𝗻𝗴?