Azure DocumentDB Workshop

A beginner-friendly, end-to-end Azure DocumentDB workshop for participants who may be new to Azure Portal, MongoDB commands, vector search, and RAG.

Start here

Open the full participant guide:

END-TO-END-WORKSHOP-RUNBOOK.md

What you will build

You will create an Azure DocumentDB workshop environment with sample mobile catalog data, support articles, retail offers, a five-record search/RAG collection, vector search, a simple RAG app, and local AI agents.

Workshop modules

Module	Link	Focus
1	Introduction to Azure DocumentDB	Workshop overview and repo clone
2	Cluster Setup and Connectivity	Azure Portal setup, .env, VS Code, mongosh
3	Data Modeling, Import, Querying, and Indexing	Collections, CRUD, import, aggregation, indexes
4	Migration to Azure DocumentDB	Assessment, offline migration, online migration, cutover
5	Search, AI Workloads, Agents, and RAG	Keyword, full-text, vector, hybrid, RAG, agents, MCP/Copilot

Repository structure

Manish-Azure-DocumentDB
├── END-TO-END-WORKSHOP-RUNBOOK.md
├── README.md
├── requirements.txt
├── .env.template
├── sample-docs
├── scripts
├── 1-Introduction-to-Azure-DocumentDB
├── 2-Azure-DocumentDB-Cluster-Setup-and-Connectivity
├── 3-Data-Modeling-Data-Import-Querying-and-Indexing
├── 4-Migration-to-Azure-DocumentDB
└── 5-Search-AI-Workloads-Agents-and-RAG

One-time environment file

All scripts use the same .env file:

Copy-Item .env.template .env
notepad .env
python .\scripts\check_env.py

Do not commit .env.

Collections

Collection	Purpose
mobiles	CRUD, aggregation, indexing, and MobileAdvisor demos
support_articles	Import-from-file practice
retail_offers	Retail offer import and RetailOfferFinder demos
supportInc	Five-record keyword/full-text/vector/RAG learning collection

No script clones or depends on another repository.