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rag-patterns

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.

pascalvanderheiden☆ 0 仓库 Stars0 仓库 Forks

安装与使用

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技能说明

功能与用途

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.

快速开始

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

使用指南 ↗

使用示例

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来源历史

收录时间
2026-01-21
索引更新时间
2026-01-23
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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