Making Gen-AI Smarter with Knowledge Graphs

Generative AI (Gen-AI) has transformed the way we generate, retrieve, and interact with information. However, hallucinations, lack of context-awareness, and reliability issues continue to challenge its real-world adoption. Enter Knowledge Graphs (KGs)—the key to making Gen-AI more factual, structured, and contextually intelligent.

In this session, we’ll explore how Knowledge Graphs empower Gen-AI by enabling better reasoning, retrieval, and explainability. Learn how GraphRAG (Graph-enhanced Retrieval-Augmented Generation) enhances AI performance by grounding responses in structured knowledge, reducing hallucinations, and improving factual consistency.

Speakers:
🎤 Ashok Vishwakarma, CTO, Impulsive Web
Topic: RAG with Neo4j
Talk Description: Ever wondered how AI can provide more accurate, context-aware responses? Retrieval Augmented Generation (RAG) is the key! In this session, we’ll break down how Neo4j’s graph database can enhance RAG by structuring knowledge, improving search relevance, and making AI responses smarter. Expect a quick intro to RAG, Neo4j, and Cypher, followed by a hands-on demo that proves why graphs and AI are perfect for each other.
Speaker Bio: Driving tech for products used and loved by millions of people, acquiring a sound knowledge of Web Technologies, System Design, Performance, Database, Cloud, and Tools. Speaks at tech conferences, writes blogs, and contributes to Open Source.

🎤 Umesh Sanwal, Technical Support Engineer, Neo4j
Topic: Automated Report Generation with Agentic Flows, Neo4j, and CrewAI
Talk Description: Using agentic flows, Neo4j, and CrewAI, we can automate report generation. By assigning tasks to specialized AI agents with the right tools, we will create a smart workflow that gathers, processes, and organizes data into meaningful insights.
Speaker Bio: I have a decade of experience in the tech industry, I have a strong background as a backend developer and currently working as a Technical Support Engineer at Neo4j. I am passionate about new technologies and AI.

🎤 Sawan Garg, Principal Staff Engineer, LambdaTest
Topic: KaneAI: The GenAI Native QA Agent for Effortless Test Automation
Talk Description: Discover how KaneAI, a GenAI-native QA agent, revolutionizes test planning, authoring, automation, and execution using natural language. Supporting multiple open-source languages and frameworks, KaneAI makes test case authoring seamless while ensuring rapid execution. In this session, we'll demonstrate how KaneAI can automate a test case within minutes and execute it live via HyperExecute, showcasing the power of AI-driven QA automation in real time.
Speaker Bio: An engineer at heart and a passionate problem solver, Sawan Garg thrives on tackling complex challenges that lack predefined solutions. As one of the founding members of LambdaTest, he has been instrumental in building cutting-edge products that enhance QA efficiency. With over a decade of experience, Sawan continues to drive innovation in the testing space, shaping the future of software quality assurance.

Whether you're an AI engineer, data scientist, or graph enthusiast, this event will help you unlock the power of connected knowledge to build smarter, more reliable AI systems.
🚀 Join us and take Gen-AI to the next level with Knowledge Graphs!