Fabrizio Ruocco

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.

azure-search-video-knowledge-mining. Azure Cognitive Search - Video Knowledge Mining Extension

azure-speech-speaker-recognition. Python

azure-search-knowledge-mining. Azure Search Knowledge Mining Accelerator

FaceBlur. Detects faces into pictures using the Azure Cognitive Services Face API and blurs them to anonymize the information.

embeddings-generator. This repository shows how to generate embeddings using OpenAI.

azure-cognitive-search-async-azure-open-ai. Python

azure-cognitive-search-multiple-containers-indexer. Python