Create a Generative AI Chatbot That Uses Your Data – GPT-4o + Ada-002 | Azure AI Series Episode 3

Description

Learn how to build a generative AI application that truly understands your data. In this hands-on tutorial, we’ll combine GPT-4o with text-embedding-ada-002 to create a chatbot that goes beyond generic answers — it uses your own data sources for accurate, context-aware responses. What you’ll learn: - How to set up and use Azure AI Foundry for generative AI projects. - The difference between GPT-4o and text-embedding-ada-002 — and why you need both. - How to connect your own data (documents, text, or database) to your AI model. - How to test, query, and deploy your chatbot inside Azure AI Foundry. This is Episode 3 of the Azure AI Series (Zero to Hero) by Harpy Cloud Solutions. 👨‍💻 Tools used: - Azure AI Foundry - GPT-4o - text-embedding-ada-002 - Visual Studio Code - Python + REST API What data source are you planning to connect to your AI app first? Drop your answer below 👇 I might feature your build idea in the next episode. 📅 New videos weekly — covering Azure AI, Cloud Automation, and Practical AI Builds. 🔔 Subscribe to Harpy Cloud Solutions to stay ahead of the AI curve. #viralvideo #viral #AzureAI #GPT4o #GenerativeAI #TextEmbeddingAda002 #AIChatbot #AzureAIProject #CustomAI #YourDataAI #HarpyCloudSolutions #AIApplications #azureaifoundry #retrievalaugmentedgeneration