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GitHub / easonlai / azure_openai_semantic_search_sample

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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/easonlai%2Fazure_openai_semantic_search_sample

Stars: 3
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 647 KB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: about 1 year ago
Pushed at: almost 2 years ago
Last synced at: 19 days ago

Topics: azure, azure-openai, azure-openai-api, python, python3, semantic-search, semantic-similarity, text-embedding, word-embeddings

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