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https://github.com/azurecosmosdb/llm-data-generator
This repository demonstrates how to generate a synthetic data set using Azure OpenAI GPT-4o and generate vectors on it using text-3-large
https://github.com/azurecosmosdb/llm-data-generator
Last synced: about 5 hours ago
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This repository demonstrates how to generate a synthetic data set using Azure OpenAI GPT-4o and generate vectors on it using text-3-large
- Host: GitHub
- URL: https://github.com/azurecosmosdb/llm-data-generator
- Owner: AzureCosmosDB
- License: mit
- Created: 2024-10-24T19:50:12.000Z (26 days ago)
- Default Branch: main
- Last Pushed: 2024-10-24T23:51:11.000Z (26 days ago)
- Last Synced: 2024-10-26T06:35:55.040Z (24 days ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 20.5 KB
- Stars: 0
- Watchers: 9
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Support: SUPPORT.md
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README
# Large Language Model Data Generator for Azure Cosmos DB
This repo shows how to generate a synthetic product catalog for a bike retailer using Azure OpenAI's GPT 4o, then vectorizes it using text-3-large embedding model. The generated dataset is written to a local json file, then is written to a Cosmos DB container which has a vector index on the property containing the embeddings so it can used in a vector query in Azure Cosmos DB.
## Contributing
This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [[email protected]](mailto:[email protected]) with any additional questions or comments.## Trademarks
This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.