Empowering AI with AgenticRAG: Enhancing Knowledge Graph-Based Agents for Intelligent Decision-Makin
from Neo4j (Bengaluru)
About speaker
Siddhant Agarwal is a community builder boasting a decade-long career building communities, fostering innovation, and scaling ecosystems in India. Currently, he leads Developer Communities across APAC at Neo4j, a leader in Graph Database and Analytics Industry.
About speakers company
Neo4j is a leading graph database platform that allows you to model, store, and query data in a graph structure. Unlike traditional relational databases that use tables, rows, and columns, Neo4j organizes data as nodes, relationships, and properties, which is more intuitive for handling complex and interconnected datasets.
Abstracts
In the rapidly evolving landscape of AI, combining the strengths of Knowledge Graphs with advanced Retrieval-Augmented Generation (RAG) techniques can lead to more intelligent, context-aware agents. This session introduces AgenticRAG, a novel approach that integrates the structured, interconnected nature of Knowledge Graphs with the dynamic, generative power of RAG models. Attendees will discover how AgenticRAG enhances the capabilities of AI agents, enabling them to make informed decisions, provide nuanced responses, and navigate complex information landscapes with precision. Whether you're building customer service bots, recommendation systems, or any AI-driven application, this talk will offer valuable insights into creating smarter, more reliable AI agents by leveraging the synergy between Knowledge Graphs and AgenticRAG.
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