Name: GenAI in Action: Supercharging LLMs with Neo4j
Start: 2024-12-14T04:30:00.000Z
End: 2024-12-14T07:30:00.000Z
Location: NOIDA SECTOR 62

Season 02 Episode 04 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI

Jesús Barrasa: [https://twitter.com/BarrasaDV ](https://twitter.com/BarrasaDV )
Repository: [https://github.com/jbarrasa/goingmeta ](https://github.com/jbarrasa/goingmeta )
Knowledge Graph Book: [https://bit.ly/3LaqE6b ](https://bit.ly/3LaqE6b )
Previous Episodes: [https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/ ](https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/ )

Graph Database New York

Sandeep Chandur

Murad Nayal

Going Meta S02E04 – a Series on Semantics, Knowledge Graphs and All Things AI

Online event

For the final Neo4j Meetup in 2024 we have invited a few Neo4j Friends, Community Members and Neo4j Staff to bring you various topics in 10mins lightning talks.

Agenda:

Session 1:
**Graph Visualization and Diagramming: The why and the how**
Sebastian Müller, CTO of yWorks
Learn how to create interactive graph visualizations from Neo4j databases using Jupyter Notebooks and free tools. This lightning talk will demonstrate quick setup, data-bound visualizations, and advanced techniques to transform your queries into insightful diagrams.

Sebastian brings over two decades of expertise in graph visualization and diagramming to this presentation. With a diploma in Computer Science from the University of Tübingen, Sebastian has collaborated with global clients across various industries, helping them visualize complex connected data.

Session 2:
**Autoscaling LLMs in Production**
Yann Leger, Koyeb
Building AI-driven applications is only the first step—scaling them effectively is where the real challenges emerge. Learn how to automatically scale LLMs in production, optimize your resource usage, and improve performance for your AI-driven applications.

Yann Leger is co-founder of Koyeb, a serverless platform for AI workloads, and spent the last 12 years building large-scale cloud service providers from scratch. Passionate about cloud computing, he has a deep understanding of the underlying infrastructure, from data centers to the software stack running on hypervisors. After building Scaleway, originally with bare metal ARM servers, Yann decided to go serverless with alternative chips for AI.

Session 3:
**Graph-Powered Open Ownership: Data, Challenges, and Queries**
Stephen Abbott Pugh, Open Ownership
Join Stephen from OpenOwnership and Christophe from GraphAware to explore the Beneficial Ownership Data Standard (BODS). We will explain the data structure, introducing LEI and other identifiers, and discuss the challenges of building and modeling the open ownership dataset. Learn about the ingestion process and see practical query examples and recent Cypher features.

Stephen Abbott Pugh is Open Ownership’s Head of Technology. He looks after the overall technical roadmap for the organisation, providing technical assistance to governments with implementing technology reforms to advance beneficial ownership transparency. He is the product owner of the Beneficial Ownership Data Standard and the Open Ownership Register, along with a range of other technical products.

Session 4:
**The Power of GraphRAG**
Nyah Macklin, Neo4j

Session 5:
open - could be you! Let us know!

Graph Database - United Kingdom

Neo4j

Paddy Gallagher

On Knowledge Graphs, GraphRAG, Graph Visualisation, AI and more

IDEALondon

Tickets are free but mandatory, and can ONLY be issued from the below link: [https://lu.ma/jvbmuijh](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

***

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.

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

Graph Database Bengaluru

Sampath Kumar

Abdul Rahman Ali S Md

Supercharging Knowledge Graphs: RAG, Ontologies, & LLMs

Microsoft Reactor Bengaluru

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

Discover the cutting-edge intersection of Generative AI (GenAI) and Knowledge Graphs at **"GenAI in Action: Supercharging LLMs with Neo4j"**—a meetup designed for AI enthusiasts, data scientists, developers, and graph database practitioners.

In this session, we will explore how **Neo4j Knowledge Graphs** can revolutionize the way **Large Language Models (LLMs)** process, retrieve, and generate information. Learn how combining the semantic power of graph databases with the creative capabilities of GenAI can lead to **factual, context-aware, and intelligent AI-driven solutions**.

**Speakers: To be announced shortly**

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Whether you're looking to enhance your existing AI workflows or delve into the transformative potential of knowledge graphs, this meetup will equip you with the tools and knowledge to stay ahead in the AI revolution.

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

Graph Database Delhi/NCR

Ayush Kumar

Prince Kumar Prajapati

GenAI in Action: Supercharging LLMs with Neo4j

NOIDA SECTOR 62

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