# ruoccofabrizio/azure-open-ai-embeddings-qna

<https://repo.masters-masters.com/en/repos/ruoccofabrizio/azure-open-ai-embeddings-qna>

[Home](https://repo.masters-masters.com/en) › [ruoccofabrizio](https://repo.masters-masters.com/en/owners/ruoccofabrizio) › [azure-open-ai-embeddings-qna](https://repo.masters-masters.com/en/repos/ruoccofabrizio/azure-open-ai-embeddings-qna)

ruoccofabrizio/azure-open-ai-embeddings-qna has 849 stars on GitHub. Its RepoMasters card: Beta tier. A simple web application for a OpenAI-enabled document…

| Field | Value |
| --- | --- |
| Owner | [ruoccofabrizio](https://repo.masters-masters.com/en/owners/ruoccofabrizio) |
| Stars | 849 |
| Forks | 496 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | azureopenai |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [ruoccofabrizio/azure-open-ai-embeddings-qna](https://github.com/ruoccofabrizio/azure-open-ai-embeddings-qna) |

## Repository

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 t…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.