Original article: https://itprep.com.vn/graphrag-huong-dan-chuyen-sau-va-toi-uu-hoa/

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Large Language Models are incredibly powerful.

But they still suffer from one critical weakness:

They do not truly “understand” relationships between pieces of information.

Traditional Retrieval Augmented Generation (RAG) improved this by allowing LLMs to retrieve external knowledge before generating answers.

However, even advanced RAG pipelines often struggle with:

fragmented context

disconnected knowledge

weak reasoning chains

hallucinated outputs

This is exactly why GraphRAG has become one of the hottest topics in modern AI infrastructure.

Instead of retrieving isolated text chunks, GraphRAG introduces relationship-aware retrieval powered by knowledge graphs.

The result?

Smarter reasoning, deeper context understanding, and significantly more reliable AI responses.

So...…