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
Nov 18, 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
AI Video Retrieval: A Semantic Search & Timestamp Alignment System
A semantic search engine with hugging face and pinecone implementation for docusign documents.
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.
A multilingual semantic search engine utilizing sentence similarity with sentence transformers-based models.
MLOps Framework for Dynamic Dataset Selection using Semantic Search and LLM
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