4.8K reactions · 22 shares | We're entering a new era where adding knowledge graphs to language models will unlock far better results for generative AI applications.  This approach, called GraphRAG, combines the structured knowledge of large language models with the contextual understanding provided by knowledge graphs. The blog provides a step-by-step guide to create GraphRAG. ️ https://go.aws/40mGUtB | Amazon Web Services | Facebook

Today we’re launching “Agentic Knowledge Graph Construction,” a short course built in collaboration with Neo4j and taught by Andreas Kollegger. RAG retrieves relevant text, and knowledge graphs complement it by modeling relationships and provenance so answers reflect how your data is connected. This short course shows how to automate knowledge graph construction using collaborating AI agents. You’ll implement a workflow that: - Captures the user goal - Automatically selects relevant files - Prop