vertex-ai-samples and hands-on-lab-neo4j-and-google

Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 663
Forks: 258
Downloads:
Commits (30d): 27
Language: Jupyter Notebook
License: Apache-2.0
Stars: 121
Forks: 51
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About vertex-ai-samples

GoogleCloudPlatform/vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

This repository provides practical examples and guided notebooks for anyone building or managing machine learning and generative AI solutions on Google Cloud's Vertex AI platform. It takes your raw data and ideas, and through step-by-step code, helps you create, deploy, and manage AI models. Data scientists, machine learning engineers, and AI practitioners can use these resources to accelerate their projects.

machine-learning-operations generative-ai-development cloud-ml-platform model-deployment data-science-workflow

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.

capital-markets financial-analysis data-engineering knowledge-graphs generative-AI

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