A demo app showcasing Vector Search using Azure AI Search, Azure OpenAI for text embeddings, and Azure AI Vision for image embeddings.
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Updated
Jun 6, 2024 - Python
A demo app showcasing Vector Search using Azure AI Search, Azure OpenAI for text embeddings, and Azure AI Vision for image embeddings.
This application uses sentence embedding to project the documents in a high dimensional space and find most similarities through cosine similarities
The simple client of NautilusDB, a Clound-Native Vector Search Service
It reflects the main purpose of the code, which is to perform semantic search on a dataset of text documents using FAISS for indexing and the Universal Sentence Encoder for generating embeddings.
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