rag-patterns

Features and purpose

Implement RAG (Retrieval-Augmented Generation) patterns using Azure AI Search. Covers three retrieval approaches - (1) Agentic Retrieval for complex multi-query LLM-assisted search with knowledge bases, (2) Full-Text Search using BM25 keyword matching, and (3) Vector Search for semantic similarity. Use when building RAG pipelines, implementing search for agents/chatbots, or grounding LLM responses in enterprise data. Supports hybrid search, semantic ranking, and azd templates for deployment.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.