Azure-Samples/azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 97
- Release rhythm 93
- Longevity 93
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 6
- age_days: 1302
- days_rel: 46
- days_push: 20
- n_releases_24m: 54
Adoption not part of the score
7746 stars · 5469 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A reference sample application implementing the Retrieval-Augmented Generation (RAG) pattern on Azure, combining Azure AI Search for document indexing/retrieval with Azure OpenAI GPT models to power a ChatGPT-style chat and Q&A experience over your own documents. It ships as an azd template with a Python backend, TypeScript frontend, and Bicep infrastructure-as-code for one-command Azure deployment.
Use cases
- build a chatbot that answers questions over my own documents
- deploy a RAG app on Azure with OpenAI and AI Search
- ChatGPT-like interface over private company data
- index PDFs and query them with an LLM
- learn how to implement retrieval-augmented generation end to end
- starting template for an enterprise AI chat app on Azure
When to choose
- you are committed to the Azure ecosystem (Azure OpenAI, Azure AI Search, App Service)
- you want a production-shaped, well-maintained reference architecture with IaC included
- you need a quick starting point for a document Q&A chat experience
When to avoid
- you want a cloud-agnostic or self-hosted stack without Azure dependencies
- you need production-grade security out of the box - the README warns extra hardening is required
- you want to avoid Azure OpenAI and AI Search costs, which can be significant
Facets
application · maturity active
rag chatbot search-engine llm-inference web-framework deployment large-language-models artificial-intelligence cloud-computing web-development cloud python azure-openai azure-ai-search azd-template chatgpt-style sample-app bicep vector-search retrieval-augmented-generation search web-server docker
10 sources
- readme: https://github.com/Azure-Samples/azure-search-openai-demo · fetched 2026-08-28 · b3a5da85be0e
- homepage: https://azure.microsoft.com/products/search · fetched 2026-08-29 · e534a514c789
- site_page: https://azure.microsoft.com/en-us/pricing/free-services · fetched 2026-08-29 · 401d8cc69d16
- site_page: https://azure.microsoft.com/en-us/pricing/purchase-options · fetched 2026-08-29 · 38e380b83af1
- site_page: https://azure.microsoft.com/en-us/pricing/calculator · fetched 2026-08-29 · 73898700cc14
- site_page: https://azure.microsoft.com/en-us/pricing/offers/savings-plans · fetched 2026-08-29 · 2526c069d991
- site_page: https://azure.microsoft.com/en-us/pricing/offers/reservations · fetched 2026-08-29 · 302c0d1b8bee
- site_page: https://azure.microsoft.com/en-us/pricing/offers/hybrid-benefit · fetched 2026-08-29 · 87f8132b231a
- site_page: https://azure.microsoft.com/en-us/pricing · fetched 2026-08-29 · f8cc851c9b5a
- site_page: https://azure.microsoft.com/en-us/pricing/purchase-options/azure-account · fetched 2026-08-29 · e12061e1a4dc
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Azure-Samples/azure-search-openai-demo | main | 95 |
For agents
markdown · JSON · MCP: product_card(name="Azure-Samples/azure-search-openai-demo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem