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.

Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 10/25
Adoption 6/25
Maturity 11/25
Community 17/25
Stars: 120
Forks: 51
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 20
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stale 6m No Package No Dependents
No Package No Dependents

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.

data-science data-engineering capital-markets financial-analysis knowledge-graphs

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.

data-science data-engineering capital-markets financial-analysis knowledge-graphs

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