![Graph RAG features for Data Graphs - Data Language Summer 2024 Hack Event](https://images.datalanguage.com/67Zx9NAX9zSMsHLJdtCiSI/data-language-office-during-rag-hack---summer-2024.jpg?auto=format&w=300&fit=crop)
Graph RAG features for Data Graphs - Data Language Summer 2024 Hack Event
Data Graphs
Our summer's hack event is spearheading new RAG Stack features for Data Graphs
![Matt Shearer](https://images.datalanguage.com/05WjSrO5OtEqNbh7bnukGJ/image.jpg?w=100)
Matt Shearer
July 9, 2024
Graph RAG is better than standard RAG because it provides the LLM with richer information:
Overall, Graph RAG enhances the LLM's ability to generate more accurate, contextual, and insightful responses.
Standard RAG: It retrieves relevant information from a knowledge base (like a collection of documents) to feed a large language model (LLM). This can lead to limitations in context and factual accuracy.
Graph RAG: It incorporates a graph database as the knowledge source. This database structures information as a network of interconnected entities and their relationships.