GraphRAG reference architecture for GenAI: With Spanner Graph, Vertex AI, and Cloud Run

[kumards]

Hi All,

Standard RAG is great at retrieving relevant data points and augmenting prompts. Spanner Graph helps us take RAG one step further: You can build a knowledge graph of the relationships between source data points and then use GraphRAG to augment prompts with richer grounding data.

To learn more about this, please read this article. Also, see the detailed reference architecture guide, which provides an architecture diagram, conceptual guidance, and code to help you get started with GraphRAG on Google Cloud using Spanner Graph, Vertex AI, and Cloud Run.



I'd love to hear your feedback & questions on this reference architecture. Please do share.

Thank you!