azure-search-vector-samples and azure_kusto_vector
These are ecosystem siblings, as the first project provides general samples for Azure AI Search's vector capabilities, while the second offers specific samples for using Azure Kusto (Azure Data Explorer) as a vector database, which can be seen as a specialized application within the broader Azure ecosystem.
About azure-search-vector-samples
Azure/azure-search-vector-samples
A repository of code samples for Vector search capabilities in Azure AI Search.
This project offers code samples for developers to implement 'vector search' capabilities within Azure AI Search. It demonstrates how to convert various data types, like text and images, into 'vectors' (numerical representations) using Azure OpenAI, and then efficiently store and query these vectors in Azure AI Search. Developers working with Azure cloud services and AI applications are the primary users.
About azure_kusto_vector
anshulsharmas/azure_kusto_vector
Samples to use Kusto(Azure Data Explorer) as a Vector database for AI embeddings
This project helps data professionals and AI developers perform semantic searches on large datasets. It takes text, transforms it into numerical embeddings using AI models like OpenAI, stores these embeddings in Azure Data Explorer (Kusto), and allows you to find similar text passages based on their meaning. This is ideal for anyone managing vast amounts of unstructured text data who needs to quickly find contextually relevant information.
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