GenAI and Graphs: An Introduction to Building GenAI Apps
How can you tap into GenAI’s vast potential? To build GenAI apps for the enterprise, you must solve common issues like hallucinations and lack of context.
Early adopters have seen promising results by combining GenAI with graph, a technology made to handle billions of connections. Once you ground your LLM with a knowledge graph and add vector search to the mix, you can easily generate accurate, explainable responses.
To grasp the fundamentals of this technology and see what it can do for your GenAI apps, join us for this 30-minute webinar. You'll learn:
- The main features of the Neo4j graph database that set it apart
- How knowledge graphs ground LLMs in company-specific data
- Why native vector search is crucial
- How to integrate Neo4j with ecosystem tools like LangChain, LlamaIndex, Haystack, and Ollama
We’ll also explore how Neo4j lets you add new data – even unstructured data – without rebuilding a schema from scratch.
If you want to develop GenAI apps that your organization can rely on, don’t miss this webinar.
SPEAKER
Zachary Blumenfeld
AI/ML Product Specialist
Zach is an AI/ML product specialist who helps engineers, data scientists, and business leaders leverage graph technology for advanced analytics and AI applications. His expertise spans several dynamic fields, including criminal fraud detection, identity resolution, and recommendation systems. With a background in both data science and software engineering, Zach has utilized graph computing in critical projects for law enforcement and government agencies, supporting missions that counter drug trafficking, human smuggling, money laundering, and child exploitation. He has led the development of comprehensive, full-stack graph systems for expansive search and analytical requirements.
