Vector Quantization in Azure AI Search: Cut RAM by 97%
Vector quantization in Azure AI Search: Scalar Quantization and Binary Quantization with oversampling, rescoring, and MRL for space saving and efficiency.
AI ServicesA collection of 8 posts
The AI category showcases Azure’s intelligent services that make apps smarter and more helpful. From recognizing faces and translating languages to powering chatbots, search, and video insights, these tools bring advanced capabilities into everyday solutions.
Integrated Vectorization in Azure AI Search: How to Automate Embeddings
A complete guide to integrated vectorization in Azure AI Search, showing how to automate embeddings and streamline your vector search pipeline.
Vectorizers in Azure AI Search: 5 Key Insights You Must Know
Learn how Vectorizers in Azure AI Search simplify embedding generation, streamline C# code, and improve vector search workflows.
Vector Search in Azure AI Search: A Practical Guide
Vector Search in Azure AI Search explained with filters, role-based filtering and C# examples for building fast, intelligent vector search features.
Azure AI Search Indexing Strategies: Pull vs Push Approach
Compare pull and push indexing in Azure AI Search. Understand the pros and cons of each, and consider using a hybrid approach that takes the best from both.
Mastering Data Indexing in Azure AI Search: Take Full Control (Push Approach)
Take full control of Azure AI Search with push indexing. Discover how APIs enable flexible, custom data ingestion pipelines.
Effective Data Indexing in Azure AI Search: Data Sources and Indexers (Pull Approach)
Essential guide to Azure AI Search: explore data sources, indexers, and incremental indexing with the pull approach for effective results.
Getting Started with Azure AI Search: Features, Benefits, and Basics Explained
Discover Azure AI Search basics, features, and benefits. Learn how to build intelligent search solutions in the Azure cloud.