AI-103 skill area 5 of 5 · exam weight 10–15%

Implement information extraction solutions

Retrieval and grounding pipelines with search and enrichment, and extracting structured content from documents.

Implement information extraction solutions is worth 10–15% of the AI-103 exam. The study guide splits it into two skill groups: building retrieval and grounding pipelines, and extracting content from documents.

Retrieval and grounding pipelines start with ingesting and indexing content such as documents, images, audio and video. The guide then lists configuring semantic search, hybrid search and vector search for grounding; implementing enrichment with custom or built-in skills for text, images and layout; configuring a RAG ingestion flow that includes documents and optical character recognition (OCR); and connecting retrieval pipelines directly to workflows and agent tools.

Extracting content from documents covers multimodal pipelines that combine OCR, layout analysis and field extraction; producing clean, grounded representations for agents and RAG by using Content Understanding; and implementing analyzers that generate structured or markdown outputs for downstream reasoning by using Content Understanding.

Source: Microsoft's AI-103 study guide (skills measured as of April 16, 2026). Documentation: Azure AI Search documentation, Azure Content Understanding documentation, Azure AI Document Intelligence documentation.

33 practice questions in this area, covering 8 of 8 study-guide skills.