Overview
It turns out that knowledge graph technology is extremely synergistic with generative AI technology. In order for Enterprises to safely take advantage of generative AI, knowledge graph is a necessary investment.
Highlights
- Large language Models are not a store of knowledge
- Knowledge graphs provide a single cohesive integration layer for all data, anywhere
- Knowledge graphs merge more diverse, better described, data sources into a unified, multidimensional framework, offering depth beyond traditional databases
- Fine-tune knowledge transfer with knowledge graph data
- Supporting RAG with vector Embeddings
- Just-in-time computed grounding context from the Knowledge Graph
- Conversational BI
Why Watch?
Generative AI is still very new to most. Learn how to not only take advantage of today's AI, but how to prepared for tomorrow's.
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