Smarter Search, Better Decisions: The Role of KGs in Gen-AI Applications

​In the era of Generative AI (Gen-AI), the ability to retrieve, reason, and generate insights efficiently is crucial for building intelligent applications. However, traditional AI models often struggle with hallucinations, context-awareness, explainability and challenges that Knowledge Graphs (KGs) can effectively address.

​Join us as we explore how Knowledge Graphs enhance search, decision-making, and contextual intelligence in Gen-AI applications. Learn how GraphRAG (Graph-enhanced Retrieval-Augmented Generation) is revolutionizing AI by combining structured knowledge with generative models to improve relevance, accuracy, and trustworthiness.

​Venue:
Hosted at Nasdaq Bangalore.
Show your Luma RSVP at the reception to receive your entry name tag (Guest ID). Per venue policies, please wear your name tag at all times and remain within the designated meetup area.
For those commuting or arriving in their own vehicles, parking facilities are available at the venue.

Agenda:
10:00 AM - 10:30 AM - Enhancing LLMs with Graph Technology by Stephen Chin (VP of Developer Relations, Neo4j)
10:40 AM - 11:10 AM - The Future of AI Agents: Building with MCP-agent by Chaya Nagabhusan (Director software engineer, Nasdaq) and Agam Kumar (Senior Data Scientist, Nasdaq)
11:20 AM - 11:50 AM - Traversing from Zero to Production with Graphs by Abhishek Das (Co-Founder & CTO, SourcingXPress)
12:00 PM - 12:45 PM - Multi-Agent Collaboration for AI Workflows by Nikita Nayak (Data Scientist Specialist, Nasdaq)

​Whether you're working on GenAI-powered search, decision intelligence, or knowledge-driven applications, this event will equip you with the latest advancements in graph-powered AI.

​🚀 Join us to build the next generation of GenAI applications with Knowledge Graphs!