When to use graph data models, such as parent-child, question-based, and topic-summary, for RAG applications powered by knowledge graphs.
Generated by Microsoft Designer
When building a retrieval augmented generation (RAG) application, it can be tempting to just dump your documents in either a vector or graph database, generate some embeddings, and start running cosine similarity.
In this article, we will discuss a few alternative graph data models that can be used to enhance these applica...