|
Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why knowledge graphs, vector databases and semantic layers are increasingly foundational for scalable, enterprise-grade AI systems.
Together, these components form a foundation for retrieval augmented generational (RAG), explainable AI, and multi-modal intelligence systems. Whether you're enhancing LLM performance, building enterprise search, or delivering trusted insights at scale, this trio is becoming essential.
To dive into how leading organizations are using these technologies to drive better AI outcomes, as well as practical patterns, architectures and tools, DBTA is hosting a special roundtable webinar on September 25th.
You'll learn:
- What these technologies do – and how they're unique
- Real-world architectures combining graphs, vectors and semantic layers for LLMs
- Actionable guidance on tooling
- Integration tips for your data lake, warehouse or cloud AI stack
Reserve your seat today!
Register Now to attend the webinar AI Game Changers: Knowledge Graphs, Vector Databases, and Semantic Layers. Don't miss this live event on Thursday, September 25, 11 AM PT / 2 PM ET.
Interested in Sponsoring?
|