Canvas CloudAI
Microsoft Azure
Advanced

AI-Powered Knowledge Base

Build an intelligent search and Q&A system with Azure AI

~20 min(6h traditional)
Azure OpenAI
AI Search
Blob Storage
Azure Functions
Cosmos DB
Key Vault

Build an AI-powered enterprise knowledge base using Azure OpenAI, AI Search, Blob Storage, and Azure Functions with RAG pattern for intelligent document retrieval and Q&A.

In this project, you'll build BrainVault
  • an enterprise knowledge management system for a consulting firm
that needs to make thousands of internal documents instantly searchable and queryable via natural language. You'll learn to implement cutting-edge AI patterns on Azure: • Azure Blob Storage for document uploads and organization (PDF, DOCX, MD) • Azure AI Search (formerly Cognitive Search) for intelligent indexing with semantic ranking • Azure OpenAI for text-embedding-ada-002 embeddings and GPT-4 chat completions • RAG (Retrieval-Augmented Generation) pattern for grounded, accurate AI responses • Azure Functions for document ingestion pipeline and chat API endpoints • Cosmos DB for conversation history and user preferences • Azure Key Vault for secure API key and connection string management This project gives you hands-on experience with enterprise AI architecture, teaching you the RAG pattern and vector search techniques that power modern AI-assisted knowledge systems.

Skills You'll Learn

  • Azure OpenAI
  • AI Search
  • Blob Storage
  • Azure Functions
  • RAG pattern
  • Vector search
  • Enterprise AI

What You'll Build

  • Enterprise knowledge base
  • RAG-powered Q&A system
  • Semantic search engine
  • Document processing pipeline
  • AI conversation system

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