Showing tag results for AI Search

This article discusses the challenges and methodologies for creating a reliable groundtruth dataset for search evaluation. It highlights the use of TREC Pooling and GPT-4o assisted ranking to overcome the labor-intensive process of manual labeling, ensuring high-quality search evaluations even with limited data.

Azure Durable Functions streamline RAG indexing by combining push flexibility with pull reliability for scalable,

This article compares Azure Functions with pre-built indexers for data ingestion in Azure AI Search, with a focus on using Azure Functions for a flexible, scalable approach. It explores key steps like data migration, index creation, and deployment automation.