GenAI Convergence: RAGs, Graphs, and LLMs

​Join us for an exciting session on the intersection of Generative AI, Retrieval-Augmented Generation (RAGs), Graph Databases, and Large Language Models (LLMs).

​Speakers:

​🎤 Ashok Vishwakarma, CTO @ Impulsive Web
Talk topic : Building Knowledge Base for Real Estate Using Gemma and Neo4j
Description: In this presentation, we delve into the development and deployment of a custom Large Language Model (LLM) tailored for a major infrastructure company. Leveraging the capabilities of Gemma and Neo4j, we created an advanced, queryable knowledge base that consolidates data from past real estate projects. This solution not only enhances data accessibility and retrieval but also demonstrates the transformative potential of AI in the real estate sector. Attendees will gain insights into the design, implementation, and benefits of integrating LLMs with robust database systems to streamline knowledge management and drive informed decision making.

​🎤Akash Chandra, Founder and CEO @ InsightAI
Topic: Real-Time Financial Intelligence: Using Neo4j and GenAI in Financial Analytics
Talk Description: This session offers a practical overview of advanced tools in financial analytics, focusing on how Neo4j, GenAI, and event-driven architectures enhance decision-making. Attendees will learn how graph neural networks (GNNs) and GenAI enable accurate anomaly detection and risk assessment, while event-driven setups support real-time processing for more responsive financial insights.

​​Whether you're a data scientist, AI engineer, or tech enthusiast, this meetup will provide hands-on insights into how these technologies are converging to power the next generation of AI applications.

​​Find more details here: https://www.meetup.com/graph-database-bengaluru/events/303480483/

​​Expect engaging discussions, networking opportunities, and the chance to deepen your understanding of how these transformative technologies can be applied to real-world problems.