Agentic RAG with Knowledge Graphs: Unlocking the potential of LLMs
Автор: Ascentic
Загружено: 2024-09-30
Просмотров: 3447
Join Gihan Liyanage this month as he explores the intersection of Retrieval-Augmented Generation (RAG) and knowledge graphs, and how combining them with agentic approaches enhances the capabilities of Large Language Models (LLMs).
We’ll dive into how knowledge graphs provide structured context to LLMs, improving reasoning, accuracy, and interpretability. This session will cover practical applications, architecture insights, and innovative use cases to demonstrate the transformative potential of agent-driven LLMs in real-world scenarios.
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