Discover the future of data analysis in our on-demand webinar, "Improved Results with Vector Search in Knowledge Graphs." Join Alison Cossette, Neo4j Data Science Advocate, and Jennifer Reif, Neo4j Senior Developer Advocate, for this insightful session.

What You'll Learn:

  • Basics of Vector Search: Uncover the principles of vector search and its transformative role in AI-generated results and knowledge graphs.
  • Enhancing Neo4j with Vectors: Learn practical methods to integrate vectors into your Neo4j database, enhancing data accuracy and relevance.
  • LLM & Graph Vector Search Synergy: Explore the integration of Large Language Models with graph vector search for relevant, context-aware data responses.

This webinar is tailored for those eager to advance their Neo4j skills and understand the latest AI technologies in data analysis. Register now to reserve your spot and take a step forward in your data science journey.

Alison Cossette
Data Science Advocate

Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. As a Developer Advocate at Neo4j specializing in Graph Data Science, she brings a wealth of expertise to the field. With her strong technical background and exceptional communication skills, Alison bridges the gap between complex data science concepts and practical applications.

Jennifer Reif
Senior Developer Advocate

Jennifer Reif is a Developer Advocate at Neo4j, speaker, and blogger with an MS in CMIS. An avid developer and problem-solver, she has worked with many businesses and projects to organize and make sense of widespread data assets and leverage them for maximum business value. She has expertise in a variety of commercial and open source tools, and she enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.
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