Repository overview / AI
Azure Search + OpenAI
An Azure RAG application fork connecting enterprise content, AI Search, and grounded chat experiences.
01 / Context
What is in the repository?
A public fork of the Azure Samples retrieval-augmented generation application. It connects a chat experience to enterprise content through Azure AI Search and Azure OpenAI, with Python application code and Bicep infrastructure.
Conceptual components / not a live deployment
- 01Question
- 02AI Search
- 03OpenAI + context
- 04Cited response
02 / Implementation surface
A closer look.
Retrieval before generation
Relevant source content is retrieved for a question and supplied as context to the language model.
Application and infrastructure together
The sample includes a web interface, Python backend, document ingestion, and Azure deployment definitions.
A reference implementation to explore
The repository provides a practical starting point for studying retrieval, prompting, identity, and deployment decisions in an AI application.