›Understanding GraphRAG
2.2 · Lesson
Understanding GraphRAG
iGo to glossary for large language model (opens in a new tab)A model trained on text to predict the next token, and so to generate language. are powerful, but they do not know your data — and that is a problem you are about to solve.
In this lesson, you will learn why LLMs hallucinate, how iFull definition for retrieval-augmented generation (opens in a new tab)Fetching relevant context from an external data source as additional context to inform a language model's response. grounds their responses in real data, and why graphs make RAG significantly more powerful.
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