

De qué se trata
Welcome to the Graph Database Bengaluru User Group, a group for anyone interested in exploring the intersection of graphs, artificial intelligence, machine learning, gen-ai big data, and analytics. Our group is powered by Neo4j, a leading graph database technology, and our goal is to democratize graphs by discussing and exploring technologies that empower fraud prevention, personalized recommendation, supply-chain optimization, and other analysis capabilities found in today's most critical enterprise applications.
Want to lead this group or want to start a user group in your city? Fill this form and we will get back to you at the earliest.
Whether you are a developer, data scientist, or just curious about the world of graph databases and graph data science, our group is the perfect place for you. We welcome anyone who is passionate about these topics and wants to connect with others in the community. Our events are a great opportunity to network with other professionals, learn from experts, and explore the potential of graph technology industry. To speak at future meetups, fill this form. To co-promote your meetup or inquire about sponsorship opportunities, please reach out to devrel@neo4j.com
If you wish to get started with Graphs virtually at the comfort of your home, take our GraphAcademy courses. If you have already tried Neo4j and ran into some questions, check out our community forum: https://community.neo4j.com/.
Join us for our next event, and let's explore the exciting world of graphs, AI, and big data together!
Patrocinadores
Ver todoPróximos eventos (3)
Ver todo- Power-up LLMs to be Factual Ninjas using GraphRAGIBM EGL D Block, Bengaluru
Agenda:
10:00 am Registration & Networking
10:30 am AI Alliance Overview
10:15 am IBM Granite Time Series Foundation Models
10:45 am GraphRAG workshop - Siddhant Agarwal of Neo4j
12:15 pm Wrap upTopic: Power up LLMs to be Factual Ninjas using GraphRAG
Abstract: In the age of big data, Large Language Models (LLMs) are powerful yet limited by challenges like factual inaccuracy, poor reasoning, and difficulty with complex information. This talk introduces GraphRAG, a game-changing approach that integrates knowledge graphs with LLMs to overcome these limitations. Unlike traditional LLMs or vector-only RAG systems, GraphRAG leverages structured data to enhance accuracy, enable deeper reasoning, and unlock advanced contextual understanding. Through real-world examples, we’ll explore how GraphRAG bridges the gap between raw data and meaningful insights, showcasing its potential to revolutionize intelligent applications like question answering and chatbots.
Speaker Bio: Siddhant Agarwal is a seasoned DevRel professional with over a decade of experience cultivating innovation and scaling developer ecosystems globally. Currently leading Developer Relations across APAC at Neo4j and recognized as a Google Developer Expert in Gen-AI, Sid transforms local developer initiatives into global success stories with his signature "Local to Global" approach. Previously at Google managing flagship developer programs, he has shared his technical expertise at diverse forums worldwide, fueling inspiration and innovation. Know more about him at meetsid.dev.
Location details: Floor TBD at IBM EGL, D Block, Embassy Golf Links, Off Indira Nagar-Koramangala Intermediate Ring Road, IBM Ln, Embassy Golf Links Business Park, Challaghatta, Bengaluru, Karnataka 560071
Please provide your basic contact information (name, email address, job title, company name) for registration at the entrance.
- Evento de red73 asistentes de 10 grupos de organizadoresNODES 2025 - Asia PacificSolo los asistentes pueden ver el enlace
NODES, the biggest community gathering dedicated to graph-powered apps, knowledge graphs, and AI returns for its seventh year on November 6, 2025.
Join thousands of developers and data & AI practitioners in this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers showcasing their implementations, tools, and models.
This year's five themes are:
- Applications: Libraries, Frameworks, and Platforms
- AI Engineering: Generative AI, RAG, and Agents
- Data Intelligence: Machine Learning, Algorithms, and Models
- Graphs: Visualization, Knowledge Graphs and Tips & Tricks
- Architecture: Frameworks, Data Platforms, Clouds and Beyond
Don't miss it. Save the date now.