aws-samples/generative-ai-use-cases
Application implementation with business use cases for safely utilizing generative AI in business operations
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 104 days ago, with 70 contributors on GitHub.
Gained 35% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Implements well-architected generative AI applications with diverse business use cases for safe integration into operations using AWS services and TypeScript.
- Offers a comprehensive, extensible platform with prebuilt use cases and customizable agents, enabling secure, scalable, and multi-language generative AI deployments.
- Use for rapidly prototyping and deploying chatbots, text generation, summarization, and translation in enterprise environments.
- Use for building retrieval-augmented generation (RAG) systems that integrate external knowledge bases like Amazon Kendra for accurate, evidence-based AI responses.
- Use for creating and managing custom AI use cases and agents with natural language prompt templates without modifying core code, facilitating tailored business workflows.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT No Attribution
Public-domain style: no conditions on use.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Well-architected application implementation with business use cases for utilizing generative AI in business operations
Here we introduce GenU's features and options by usage pattern. For comprehensive deployment options, please refer to this document.
GenU deployment uses AWS Cloud Development Kit (CDK). If you cannot prepare a CDK execution environment, refer to the following deployment methods:
First, run the following command. All commands should be executed at the repository root.
If you've never used CDK before, you need to Bootstrap for the first time only. The following command is unnecessary if your environment is already bootstrapped.
Next, deploy AWS resources with the following command. Please wait for the deployment to complete (it may take about 20 minutes).
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
441+8
Open issues
121+33
Compared with peers in Cloud
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| aws-samples/generative-ai-use-cases | 1.4K | — | 59 | 104 days ago |
| Category median | 14.7K | +233 | 63 | — |
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