Structure From Chaos: Accelerate GraphRAG With cuGraph and NVIDIA NIM

, Senior Solutions Architect, NVIDIA
, Sr. Solutions Architect, NVIDIA
, Sr. Solutions Architect, NVIDIA
, Sr. Solutions Architect, Enterprise Generative AI, NVIDIA
Learn how to integrate large language models (LLMs) with NVIDIA Inference Microservices (NIM) and cuGraph to create cutting-edge, graph-based AI solutions for handling complex, interconnected data. We'll cover fine-tuning techniques, Langchain agents, and GPU-accelerated graph analytics to enhance AI capabilities and retrieval-augmented generation (RAG) evaluation.
Prerequisite(s):

Generative AI knowledge about LLMs and RAG.
Understanding of vector-based RAG and embedding vectors.
活动: GTC 25
日期: March 2025
行业: 金融服务
话题: Generative AI - Retrieval-Augmented Generation (RAG)
NVIDIA 技术: Hopper,cuGraph,NVIDIA NIM
级别: Technical – Intermediate
语言: 英语
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