rag-indexer

name	rag-indexer
description	Design document ingestion and indexing workflows for Azure AI Search, including chunking, metadata strategy, and incremental reindexing guidance.

RAG Indexer

Use this skill to define and improve indexing pipelines for RAG on Azure AI Search.

Use for

• Source inventory and ingestion sequencing
• Chunking and overlap strategy selection
• Metadata schema design for filters and citations
• Hybrid retrieval baseline (keyword + vector + semantic ranker)
• Reindexing strategy for changed documents

Do not use for

• End-user chat UX implementation
• Azure subscription governance and policy enforcement

Output contract

Provide:

1. Ingestion workflow by source type
2. Chunking and embedding settings
3. Index schema proposal
4. Retrieval tuning checklist
5. Verification queries and expected outcomes