Supercharge your data with Azure AI Search and OpenAI
summary
Demo shows a runnable .NET 9 Blazor app (SignalR + C#) that wires Azure OpenAI Service to Azure AI Search for a full RAG pipeline: PDF ingestion, chunking, creating OpenAI embeddings, storing vectors, then querying with vector, hybrid and semantic reranker searches. Live examples return XY Z Retail net income 2021 = 90,000 and 2022 = 100,000; token usage note 1,200/128,000; real deployment example is a Chelsea Flower Show garden of 12 trees (7 instrumented) using the same pattern.
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chapters (11)
- 0:00Introduction
- 3:42Azure AI Search + OpenAI
- 11:03Retrieval augmented generation
- 15:43Chunking and storing data
- 19:14Vectors for semantic search
- 24:30Vector and hybrid search queries
- 29:50RAG pipeline steps
- 31:57Live demo
- 37:15Real-world applications
- 39:20Clippy with AI
- 42:30Closing
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