# Knowledge graph retrieval-augmented generation (RAG): structured retrieval for AI agents

DevFeed: [Knowledge graph retrieval-augmented generation (RAG): structured retrieval for AI agents](<https://devfeed.tech/articles/knowledge-graph-retrieval-augmented-generation-rag-structured-retrieval-for-ai-agents-4816.md>)

Original publisher: [Read original article](<https://redis.io/blog/knowledge-graph-rag-structured-retrieval-ai-agents/>)

Author: Jim Allen Wallace

Published: 2026-06-24T00:00:00Z

Content type: tutorial

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [Graphs](<https://devfeed.tech/topics/graphs.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [graphs](<https://devfeed.tech/tags/graphs.md>), [knowledge-graph](<https://devfeed.tech/tags/knowledge-graph.md>), [rag](<https://devfeed.tech/tags/rag.md>), [retrieval](<https://devfeed.tech/tags/retrieval.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>)

## AI overview

This guide explains knowledge graph RAG as a structured retrieval approach for AI agents. It contrasts graph-based retrieval of connected entities and relationships with vector RAG's nearest-neighbor retrieval of isolated text chunks, and outlines how LLMs can build graphs from unstructured data to support multi-hop retrieval.

## Source excerpt

A user asks your support agent: "is the slow-sync bug from my last ticket fixed in the version you told me to upgrade to?" Answering means connecting three documents: the customer's earlier ticket, the new release notes, and the engineering issue the ...