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.
Covers chunking, text and image embeddings, and query vectorization across Python, C#, Java, and JavaScript using Azure OpenAI for embedding generation. Samples demonstrate both explicit vectorization (calling OpenAI separately) and integrated vectorization (via indexer skillsets), plus optimization techniques like scalar quantization and narrow data types to reduce index size. Targets retrieval-augmented generation (RAG) patterns and hybrid search scenarios combining vector, keyword, and semantic ranking.
About azure_kusto_vector
anshulsharmas/azure_kusto_vector
Samples to use Kusto(Azure Data Explorer) as a Vector database for AI embeddings
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