hands-on-lab-neo4j-and-google and hands-on-lab-neo4j-and-gemini
These are ecosystem siblings representing different generations of the same integration pattern—the first targets Google's general AI/LLM capabilities while the second specifically focuses on their newer Gemini model family.
About hands-on-lab-neo4j-and-google
neo4j-partners/hands-on-lab-neo4j-and-google
Hands on Lab for Neo4j and Google
This workshop teaches you how to combine graph databases with generative AI to analyze complex datasets. You'll learn to load unstructured data, like SEC filings, into a graph database and then use AI to explore relationships and build chatbots for querying the data. This is ideal for data scientists and data engineers working with large, interconnected datasets, especially in capital markets.
About hands-on-lab-neo4j-and-gemini
neo4j-partners/hands-on-lab-neo4j-and-gemini
Hands on Lab for Neo4j and Google Gemini
This workshop teaches data scientists and data engineers how to build advanced data pipelines and AI applications. You'll learn to extract and load complex data, like SEC filings, into a graph database and then build a chatbot and semantic search over it. The result is a powerful system to explore relationships and gain insights from your data, applicable to fields like capital markets analysis.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work