AI Driven Data Enrichment with Azure Cognitive Search
summary
Shows how to turn raw PDFs and Office files into a searchable, enriched index using Azure Cognitive Search plus a bridge of indexers and skillsets, running OCR, key phrase/entity extraction, sentiment and PII detection, then calling custom web API skills hosted as Azure Functions. Demonstrates integrating Azure OpenAI (completion and embeddings), Form Recognizer and Azure ML, explains batch size/response rules, costs per 1k transactions, and offers an adatis accelerator to speed deployment.
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chapters (8)
- 0:00Introduction to AI search
- 1:45Cognitive search building blocks
- 6:40Built-in cognitive skills
- 10:09Custom web API skills
- 14:00OpenAI and Form Recognizer
- 16:24Azure ML integration
- 17:05Maximizing AI enrichments
- 18:48Q&A and summary
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