Azure-Samples/azure-ai-search-multimodal-sample

A sample app for the Multimodal Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power Q&A experiences.

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Here's a technical summary for the developer directory: Implements end-to-end multimodal RAG with both text and image extraction, using Azure AI Search's vector indexing to preserve entity relationships in complex visuals and provide grounded citations for both modalities. Supports multiple indexing strategies ("indexer-image-verbal" and "self-multimodal-embedding") and includes a bring-your-own-index workflow via the AI Search portal, enabling integration with existing indexes through the `portal-2-app.ps1` provisioning script. Deploys via Azure Developer CLI (`azd up`) with automated resource provisioning, data ingestion, and Web App hosting, while supporting local debugging and PDF-only document ingestion.

No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 15 / 25
Community 21 / 25

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62

Forks

38

Language

Python

License

MIT

Category

dotnet-azure-rag

Last pushed

Jan 23, 2026

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