Question

You are building an Azure AI Search ingestion pipeline for a repository of scanned PDF contracts. Each PDF contains both embedded digital text pages and image-only scanned pages. You must produce a single searchable text field per document that combines the native text with text recognized from the scanned images, so downstream RAG retrieval has complete grounding content. Which skillset configuration should you use in the indexer?

Accepted Answer

Add an OCR skill to extract text from images, then a Text Merge skill to combine the OCR output with the document's native content field into one consolidated text field

Answer

Add only the OCR skill and map its output directly to the index, relying on it to also capture the embedded digital text

Answer

Add a Document Extraction skill followed by an Entity Recognition skill and index the recognized entities as the grounding content

Answer

Add a Language Detection skill and a Key Phrase Extraction skill, then index the key phrases as the searchable grounding field