Knowledge graphs (KGs) and Large Language Models (LLMs) are a match made in heaven. My previous posts discuss the complementarities of these two technologies in more detail but the short version is…

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Learn how to build a Graph RAG (Retrieval-Augmented Generation) app that uses knowledge graphs and large language models to retrieve, filter, and summarize medical journal articles. The app incorporates vector databases for initial searches and structured knowledge graph metadata for filtering and organization, leveraging the MeSH controlled vocabulary to ensure relevant results. This approach enhances accuracy, explainability, and domain-specific knowledge retrieval, applicable to various fields beyond medicine.

How to Build a Graph RAG App