Supercharging Knowledge Graphs: RAG, Ontologies, & LLMs

Tickets are free but mandatory, and can ONLY be issued from the below link: https://lu.ma/jvbmuijh
IMP: RSVP here on meetup.com does NOT constitute a ticket​============================================

Join us at Microsoft Reactor, Bengaluru, for an action-packed session diving into Generative AI, RAGs, Graph Databases, and LLMs!

This meetup features three expert-led talks on cutting-edge Conversational AI, Knowledge Graphs, and AI-powered solutions. Discover how Neo4j and GraphRAG are revolutionizing conversational agents, learn to build knowledge graphs from text using LLMs, and explore the seamless integration of LangChain with Neo4j’s LLM Builder to power up your AI applications.

Speakers:

1. Aravind Parameswaran, Co-Founder @ Krux AI
   Topic: Advanced RAG Optimization to make it production-ready
   Talk Description: We explore effective strategies for optimizing your RAG setup to make it production-ready. We will cover practical techniques such as data pre-processing, query expansion & reformulation, adaptive chunk sizing, cross-encoder reranking, Colbertv2 rerankers, Graph RAG etc. to enhance the accuracy of information retrieval in RAG systems. We will also dive into evaluating RAG performance using relevant tools and metrics, providing you with a comprehensive understanding of how to optimize and assess your RAG pipeline.
   Speaker Bio: Aravind Parameswaran is a data & product enthusiast, with 15+ years of experience in data, analytics & product. He’s currently co-founder at Krux AI, makers of the open-source tool RAGBuilder (ragbuilder.io). He has worn multiple hats in his career - analyst, technology architect, data engineer, product manager, and was previously leading cross-functional teams at Cult Fit, and at Meta/ Facebook.
2. Sankalp Srivastava, Founder @ Schematise Lex Data Analysis
   Topic: Exploring Ontologies for Knowledge Graphs
   Talk Description: As part of an ongoing project, Sankalp has been working on simplifying clickwrap agreements such as privacy policies for end users along with his collaborator, Mayank Kumar. The project relies on a novel approach to domain-specific guided Graph creation for automation of the markup process of privacy policies, hence the process of constructing a GraphDB is simplified in this process by relying on a shared ontology itself. The representation of domain knowledge in the privacy field using an ontology to mark up privacy policies for this purpose creates a codebase that will be applicable to any project looking to apply rule-based constraints through a GraphRAG mechanism.
   Speaker Bio: Sankalp is a Legal Tech innovator with over a year's experience in data analysis across various subject areas relating to law and public policy. Soon after switching jobs in the area of legal consultancy and litigation, Sankalp became a self-starter in the field of Legal Tech innovation with apps such as "Schematise" and "Lex Liberalis" and datasets such as "ICAT" being developed by him under copyleft licensing that utilise Legal Ontologies for this purpose. As ontologies work with domain knowledge, Sankalp founded Schematise Lex Data Analysis as a company that seeks to work towards better knowledge representation for Indian laws and public policies.
3. Sterin Jacob, Technical Support Engineer at Neo4j
   Topic: Integrating LangChain with Neo4j: Leveraging Neo4j Labs' LLM Builder
   Talk Description: This demo will showcase how to integrate LangChain with Neo4j to build powerful, knowledge-driven applications.
   We will explore how to use LangChain for intelligent chain-of-thought prompting in combination with Neo4j’s graph database, enabling enhanced query understanding and data retrieval.
   Additionally, we’ll demonstrate the LLM (Large Language Model) Builder from Neo4j Labs, a tool designed to seamlessly integrate LLMs with Neo4j for advanced natural language understanding and generation tasks.
   Speaker Bio: To be updated

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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.

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

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Tickets are free but mandatory, and can ONLY be issued from the below link: https://lu.ma/jvbmuijh
IMP: RSVP here on meetup.com does NOT constitute a ticket​