Alison Cossette
Data Science Strategist | Podcast Host
Neo4j
Presentation TITLE:
Getting started with GraphRAG
Presentation SUMMARY:
Learn about the power of GraphRAG (Graph Retrieval Augmented Generation) to improve the accuracy, relevance, and quality of LLM responses. While LLMs offer great potential, they can face challenges with lack of domain knowledge and hallucination. GraphRAG helps overcome these challenges by integrating vector search with knowledge graphs and data science techniques to improve context, semantic understanding, and personalization while facilitating real-time updates.
In this session, we will cover GraphRAG through a real-world practical example, from creating a starter knowledge graph with a vector index to identifying and implementing useful GraphRAG patterns in a GenAI application.
About | Alison Cossette
Alison Cossette is a highly accomplished Data Science Strategist and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data Science, she brings a strong technical background and exceptional communication skills to bridge the gap between complex concepts and practical applications.
Alison's passion for responsible AI shines through her work, as she actively promotes ethical and transparent practices. She volunteers with the US Department of Commerce - National Institute of Standards and Technology's Generative AI Public Working Group, advocating for responsible AI development and deployment.
Alison combines her expertise with real-world experience to educate and empower individuals and organizations in data science and AI. Her multifaceted background, commitment to responsible AI, and ability to drive innovation make her a respected figure in the field, contributing to the advancement of data science and responsible AI practices.