ruoccofabrizio / azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.
RepositoryStats indexes 622,366 repositories, of these ruoccofabrizio/azure-open-ai-embeddings-qna is ranked #61,271 (90th percentile) for total stargazers, and #55,641 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #9,766/126,222.
ruoccofabrizio/azure-open-ai-embeddings-qna has 6 open pull requests on Github, 25 pull requests have been merged over the lifetime of the repository.
Github issues are enabled, there are 26 open issues and 49 closed issues.
Homepage URL: https://azure.microsoft.com/en-us/products/cognitive-services/openai-service
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updated: 2025-02-20 @ 10:03pm, id: 568912792 / R_kgDOIejrmA