Photo

Empowering AI with AgenticRAG: Enhancing Knowledge Graph-Based Agents for Intelligent Decision-Makin

Siddhant Agarwal

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

broad

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.

The Program Committee has not yet taken a decision on this talk

other talks of this topic

Photo
Become a Gen AI Bot Master in Just 50 Minutes – No Kidding!!

Ambesh Singh

Visionet Systems Deutschland

broad
Photo
Algorithm Of Massively Parallel Networking In C++

Vladislav Shpilevoy

VirtualMinds

specific
Photo
C# 13 Unleashed: Live Demos of my Top 10 Cutting-Edge Features!

Ambesh Singh

Visionet Systems Deutschland

broad
Photo
Crafting the Ultimate Docker Image for Spring Applications

Pasha Finkelshteyn

BellSoft

specific
Photo
You don't need to implement GraphQL

Sefi Ninio

Tikal Knowledge

specific
Photo
Why You Ignore Best Practices and How You Can Fix It

Annelore Egger

OpenValue Switzerland

broad
Photo
How we elevated tracking data accuracy from ~60% to ~80%

Alina Krasavina

Delivery hero

broad
Photo
Sculpting Data for Machine Learning: Generative AI edition

Rishabh Misra

Attentive Mobile Inc

broad
Photo
Collaborative applications and how to make them fast

Bartosz Sypytkowski

appflowy.io

specific
Photo
From Server to Serverless - A story of saving Cost

Yoav Nordmann

Tikal Knowledge

specific
Photo
Putting the asm in Wasm: from bytecode to native

Edoardo Vacchi

Tetrate

specific
Photo
JavaScript is weird. MythBusters special.

Małgorzata Janeczek

Sector Alarm Tech

broad
Photo
Pros and Cons of Jetpack Compose Toolkit

Stevan Milovanovic

InterVenture

specific
Photo
Simple and stable UI tests with Ultron

Aleksei Tiurin

Exness

specific
Photo
Workshop: Master Anti-Ban & Web Scraping Techniques (2h)

Fabien Vauchelles

Scrapoxy

specific
Photo
How Unit Testing Saved My Career

Annelore Egger

OpenValue Switzerland

broad
Photo
What the @#!? is Auth

Warren Parad

Authress

specific
Photo
Continuous Profiling on K8s - why, when and how

Ant(on) Weiss

PerfectScale

specific
Photo
Taking Shortcuts Beyond Your IDE

Annelore Egger

OpenValue Switzerland

broad
Photo
Path to Golden Path

Daniel Drack

FullStackS GmbH

broad
Photo
Deep dive into the postgres index types

Jesús Espino

Mattermost Inc.

specific
Photo
Three Flavors of Pokémon - Framework Agnostic UI Testing

Shelly Goldblit

Dell Technologies

broad
Photo
UX at the centre of system development and design

Anesu Makwasha

Tose Technologies

specific
Photo
From null to applications on Kubernetes

Roberth Strand

Sopra Steria

specific
Photo
An Efficient Git Workflow For High-Stakes Projects

Vladislav Shpilevoy

VirtualMinds

specific
Photo
Go performance profiling in theory and practice

Alexey Palazhchenko

FerretDB Inc.

broad
Photo
Throw exceptions... out of your codebase

Guillaume Faas

Vonage

specific