Vector Embedding Model Comparison with Multilingual Text
A vector embedding model comparison focusing on multilingual text using embedding models in Azure AI Foundry.
A vector embedding model comparison focusing on multilingual text using embedding models in Azure AI Foundry.
This blog article discusses a method for creating vector embeddings for texts longer than the input limit for a selected embedding model.
In this comprehensive guide, we delve into the powerful capabilities of Azure Cosmos DB as a vector database and demonstrate how to leverage Azure AI Foundry’s large language models (LLMs) to generate vector embeddings for advanced text search and analysis. Discover step-by-step instructions on setting up vector search, integrating LLMs, and optimizing your database for high-performance similarity queries. Explore practical use cases, best practices, and tips for making the most of these cutting-edge technologies in your applications.
Demonstrates how you can easily render Mermaid diagrams in your Blazor application without having to worry about JavaScript interop.
The year 2023 was probably the year when AI content production became mainstream. I will try to experiment with this too. I am going to be very transparent with this. Read more about why and how I plan to use AI for content creation.