hands-on-lab-neo4j-and-gemini and neo4j-and-azure-lab
These are ecosystem siblings—both are hands-on labs demonstrating Neo4j integration with different cloud-based LLM platforms (Azure OpenAI vs. Google Gemini), allowing users to choose their preferred generative AI provider for graph-based applications.
About hands-on-lab-neo4j-and-gemini
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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.
About neo4j-and-azure-lab
neo4j-partners/neo4j-and-azure-lab
Hands on lab for Neo4j and Microsoft Azure
This hands-on lab helps data scientists and data engineers learn to use AI to analyze complex datasets stored in Microsoft Azure. You'll learn how to take raw data, like financial filings from Azure Blob Storage, process it using AI, and load it into a Neo4j graph database. The outcome is a powerful knowledge graph and AI agent that can be used for deep analysis, especially in areas like capital markets.
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