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| title: Dupper Analytics QA | |
| emoji: ☁️ | |
| colorFrom: purple | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 3.39.0 | |
| app_file: app.py | |
| pinned: true | |
| license: bigscience-openrail-m | |
| # Overview | |
| This is a basic Question-Answer style of chain using a small vector database created from the content in the Dupper Analytics website. (The website itself isn't very comprehensive, so don't expect the model to have immense knowledge) | |
| The question is embedded as a vector, the database retrieves the nearest vectors in the database, and that is then input into GPT-3.5-turbo to generate a cohesive answer. | |
| This entire workflow is visible via the app.py file. | |
| # Citation Information | |
| The content used to generate the database | |
| # Other Notes | |
| This demo was created to show how easily this model can be applied to various databases |