WEBINAR
Empowering LLMs with a Semantic Layer
This KMWorld roundtable webinar explores how a semantic layer can transform LLM performance for enterprise use
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.
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SEMANTIC RAG
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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.
ARCHITECTURE GUIDE
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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.