WEBINAR

Empowering LLMs with a Semantic Layer

This KMWorld roundtable webinar explores how a semantic layer can transform LLM performance for enterprise use
2025-03-13-KMWorld-Webinar-Recording-thumbnail
ABOUT THE WEBINAR
A semantic layer for Large Language Models (LLMs) acts as a structured framework for organizing and interpreting information, allowing for more precise and context-aware interactions.

By incorporating a semantic layer, LLMs can grasp complex relationships between concepts, enhancing their reasoning abilities and delivering more nuanced responses across diverse business applications.

LEARN

You may also be interested in these resources

SEMANTIC RAG

Intelligent content pre-processing, hybrid search & semantic chunking

Vertesia's agentic RAG pipeline streamlines the process of data preparation, data retrieval, and response generation to enhance the accuracy and relevancy of your GenAI outputs.

LEARN MORE ABOUT RAG
ARCHITECTURE GUIDE

Effective RAG Strategies for LLM Applications and Services

This paper explores the intricacies of RAG strategies, emphasizing the superiority of semantic RAG for enterprise software architects aiming to build robust LLM-enabled applications and services.

DOWNLOAD THE GUIDE

Meet the speakers

Marydee Ojala

Co-Editor
Enterprise AI World magazine

Andreas W. Blumauer

SVP Growth
Graphwise

Grant Spradlin

VP of Product
Vertesia