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# RAG on PostgreSQL (PyCon US 2025 Demo!)
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> This repository is used in the Microsoft sponsor session at PyCon US 2025 by Rohit Ganguly and Pamela Fox.
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> If you're interested in seeing the original repository for this, visit Pamela's original one that this is forked from [here](https://github.com/Azure-Samples/rag-postgres-openai-python)!
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> This project is a Pittsburgh-specific fork of [the original RAG-on-PostgreSQL project](https://github.com/Azure-Samples/rag-postgres-openai-python).
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## Resource links used in the presentation:
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### VS Code Extensions
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- [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
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- [GitHub Copilot](https://marketplace.visualstudio.com/items?itemName=GitHub.copilot)
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- [GitHub Copilot for Azure](https://marketplace.visualstudio.com/items?itemName=ms-azuretools.vscode-azure-github-copilot)
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- [Dev Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
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- [The (new!) PostgreSQL Extension (link coming soon!)](#)
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- [PostgreSQL Extension (Brand new!)]([#](https://marketplace.visualstudio.com/items?itemName=ms-ossdata.vscode-pgsql))
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- [AI Toolkit](https://marketplace.visualstudio.com/items?itemName=ms-windows-ai-studio.windows-ai-studio)
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- [Azure AI Foundry](https://marketplace.visualstudio.com/items?itemName=TeamsDevApp.vscode-ai-foundry)
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### Azure Services & Tools
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- [Azure Developer CLI](https://aka.ms/azd)
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- [Azure Container Apps](https://aka.ms/acadocs)
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- [Azure Database for PostgreSQL](https://aka.ms/postgresdocs)
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- [Azure AI Foundry](https://aka.ms/aifoundrydocs)
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[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/Azure-Samples/rag-postgres-openai-python)
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[![Open in Dev Containers](https://img.shields.io/static/v1?style=for-the-badge&label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/azure-samples/rag-postgres-openai-python)
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## Project documentation
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This project creates a web-based chat application with an API backend that can use OpenAI chat models to answer questions about the rows in a PostgreSQL database table. The frontend is built with React and FluentUI, while the backend is written with Python and FastAPI.
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