Uploaded February 2026 | Updated September 2026, 1 week ago

---

Learn how to build an AI-powered product catalog assistant that lets users query a live Azure Cosmos DB database using natural language! In this video, I walk you through the full architecture — from streaming AI responses with the Vercel AI SDK 6 to multi-step tool calling with GPT-4.1 — all following production best practices from the Azure Cosmos DB Agent Kit.

🔑 What you'll learn:
• Set up Azure Cosmos DB NoSQL as your real-time data store
• Use the Vercel AI SDK's streamText() and useChat() for streaming chat
• Define type-safe AI tools with Zod schemas for database queries
• Enable multi-step agentic reasoning — the AI chains tool calls automatically
• Apply 45+ production best practices using the Cosmos DB Agent Kit
• Build a polished Next.js 15 chat UI with dark theme and suggestion cards

📌 Links & Resources:
📂 Sample Source Code:
github.com/sajeetharan/cosmos-ai-vercel-app
📝 Full Blog Post: devblogs.microsoft.com/cosmosdb/building-ai-powered-apps-azure-cosmos-db-vercel-ai-sdk
🤖 Azure Cosmos DB Agent Kit (GitHub): github.com/AzureCosmosDB/cosmosdb-agent-kit
📖 Azure Cosmos DB Agent Kit (Docs):
learn.microsoft.com/azure/cosmos-db/gen-ai/agent-kit
📚 Vercel AI SDK Documentation:
https://ai-sdk.dev/docs
☁️ Azure Cosmos DB Free Tier:
learn.microsoft.com/azure/cosmos-db/free-tier
💻 Azure OpenAI Service:
learn.microsoft.com/azure/ai-services/openai/overview

#azurecosmosdb #vercel #aiagents #ai #developers