RAG often falls short—especially when it comes to ensuring accuracy for complex, domain-specific use cases. The result? Failed GenAI initiatives.
Adding a knowledge graph can help. We’ll cover:
• How to implement best practices that lead to high adoption and accuracy of GenAI bots, based on examples from industry leaders.
• How knowledge graphs can improve the accuracy of your GenAI apps, addressing the shortcomings of traditional RAG models by synthesizing information from multiple sources and providing traceability back to the original documents.
• Specific use cases: We’ll dive into case studies and real examples, showing how the Agolo GraphRAG has transformed the accuracy of GenAI bots in leading companies.