Note: Meetup RSVPs are closed.
Please register here and we will notify you if you are confirmed to attend.
Join us for an exciting session on the intersection of Generative AI, Retrieval-Augmented Generation (RAGs), Graph Databases, and Large Language Models (LLMs) at Microsoft Reactor, Bengaluru.
This meetup will showcase three in-depth talks from industry experts who are pushing the boundaries of Conversational AI, Knowledge Graphs, and AI-powered applications. You’ll learn how Neo4j and GraphRAG are forming the backbone of cutting-edge conversational agents, discover how knowledge graphs can be built from text documents using LLMs, and explore the integration of LangChain with Neo4j’s innovative LLM Builder to enhance AI-driven solutions.
Speakers:
Ravi Ranjan, Manager Data Science at Publicis Sapient
Topic:Neo4j and GraphRAG: Building the Backbone of Conversational AI
Talk Description: In today’s rapidly advancing field of conversational AI, integrating knowledge graphs has become essential for enhancing the intelligence and reliability of language models. In this session, we will explore how Neo4j, a leading graph database platform, can be leveraged to construct knowledge graphs that power Graph Retrieval-Augmented Generation (GraphRAG) systems. By transforming unstructured data into interconnected knowledge graphs, GraphRAG addresses common challenges like hallucinations and contextual misunderstandings in AI models, enabling them to provide more accurate and context-rich responses. We will gain practical insights into building and querying knowledge graphs with Neo4j and learn how GraphRAG significantly improves the performance of conversational AI applications.
Speaker Bio: Hello, I’m Ravi Ranjan. With a foundation in Computer Science, I’ve spent over ten years as a Data Scientist and Machine Learning Engineer, specializing in AI and ML at the core of enterprise data solutions. My experience spans a variety of industries, including the Automobile, Banking, Retail, and Insurance sectors, delivering AI solutions globally. One of my standout accomplishments is designing a hyper-personalized recommendation system that boosted test drive bookings by an extraordinary 900%. Currently, as a Manager of Data Science, I am focused on developing a scalable GenAI platform for generative content review across various formats of brand assets.
Abhishek Mishra, DevRel Engineer at TuneAI
Topic:Building Knowledge Graphs from Text Documents Using LLMs and Graph Database
Talk Description: In this talk, we’ll explore the intersection of Large Language Models (LLMs) and graph databases – in this case Neo4j, focusing on how to construct rich, interconnected knowledge graphs from unstructured text documents. We’ll learn the practical techniques for leveraging the semantic understanding capabilities of LLMs to extract entities and relationships, and demonstrate how to store and query this knowledge graph.
Speaker Bio: Abhishek Mishra is DevRel Engineer at Tune AI and a Python Software Foundation Fellow. He is community-first person and is an organizer of PyCon India, GDG Chennai, MumPy and many other community initiatives.
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.
Note: Meetup RSVPs are closed.
Please register here and we will notify you if you are confirmed to attend.
