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https://github.com/easonlai/product_semantic_search_streamlit
This code repo demonstrates how to use the word embedding model from Azure OpenAI Service to perform a semantic search on a grocery store dataset. This enhanced/completed version used Streamlit to build a web user experience to semantic search and display the most relevant items
https://github.com/easonlai/product_semantic_search_streamlit
azure azure-openai azure-openai-api product-search python python3 semantic-search streamlit streamlit-webapp text-embedding word-embeddings
Last synced: 3 months ago
JSON representation
This code repo demonstrates how to use the word embedding model from Azure OpenAI Service to perform a semantic search on a grocery store dataset. This enhanced/completed version used Streamlit to build a web user experience to semantic search and display the most relevant items
- Host: GitHub
- URL: https://github.com/easonlai/product_semantic_search_streamlit
- Owner: easonlai
- Created: 2023-06-29T15:38:37.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-07-02T10:18:33.000Z (over 1 year ago)
- Last Synced: 2024-04-28T05:09:41.026Z (10 months ago)
- Topics: azure, azure-openai, azure-openai-api, product-search, python, python3, semantic-search, streamlit, streamlit-webapp, text-embedding, word-embeddings
- Language: Python
- Homepage:
- Size: 13.7 MB
- Stars: 3
- Watchers: 1
- Forks: 3
- Open Issues: 0